Genetic diversity and stability analysis based on agro-morphological traits among rice genotypes developed through marker-assisted backcrossing

Background: The genetic diversity and stability analysis based on agro-morphological traits among rice genotypes developed through SSR marker-assisted backcrossing was evaluated at college of agricultural science (CAS), Ebonyi State niversity, Abakaliki, Nigeria. Methods: In this study, 9 rice accessions sourced from the Iinstitute of tropical agriculture and food security (ITAFoS), universiti Putra, Malaysia and Ebonyi, Nigeria; were evaluated for yield stability performance. The experiments were laid out in randomized complete block design (RCBD) with three replications each for two seasons. Results: Result of the evaluated rice accessions showed highly marked morphological variability based on the mean performance and were grouped into three main clusters. Cluster I had CP, cluster II contained Line4, Line5, Line6, and Line8, and cluster III had Line1, Line7, Line12, and Putra-1. The first, 3 principal components were identified and retained for having the Eigen-value >1. The first PC had an eigenvalue of (6.30) with 52.5% proportion of which plant height accounted most for this variation with (0.359) whereas panicle length contributed the least (-0.13). For stability analysis, CP had highest values for most of the parameters. High heritability value was recorded for all nine traits which range between 71.04% and 95.06%. The highest heritability value (95.06%) was found in Days 50% heading while grain width had the lowest (71.04%). Conclusions: It could be concluded that CP, Putral-1, and line7 were the most stable in terms of yield across the two seasons of this study; hence, recommended for parental materials for hybridization.

Nutritive Compounds of Traditional Rainfed Rice (Oryza glaberrima) from Goh-Djiboua and Mountains Districts in C魌e d扞voire

Aims: The biochemical composition of rainfed rice (Oryza glaberrima) consumed in C魌e d'Ivoire has not yet been revealed, whereas rice is of the main staple foods for many people. This work investigates the main biochemical traits of numerous traditional rainfed rice varieties from Ivorian environment, namely in G鬶-Djiboua and Mountains Districts, for better valorization.Study Design: Study performed on traditional rainfed rice varieties collected from 450 farmers in both regional Districts mentioned above. Shelled rice perceived per variety, conditioned, and total final 5.4 kg of resulted rice considered, 200g per variety, for due laboratory investigation.Place and Duration of Study: Sampling between January and June 2017, full analysis by 2018 in Laboratory of Food Sciences, Felix Houphou雝- Boigny University.Methodology: All rice samples conveyed to laboratory, then 100g taken per variety, oven-dried at 50 癈/72 h, ground in metallic grinder, sealed into polyethylene bags, and kept into desiccator till analyses. Investigations consisted in triplicate evaluation of moisture, carbohydrates (total glucides, starch, soluble carbohydrates, reducing carbohydrates), fats, proteins, caloric energy, fibres, and ash by rice sample.Results: Great variability (P<.001) recorded between rive samples for biochemical traits assessed. Thus, the variety Jbr鰇o represents the most important source of glucides (84.19�37g/ 100 g) and caloric energy (322.17�37kcal/ 100 g) compared to the other varieties. Oppositely, the variety Yoroukouiagn陑� recorded the highest proteins content (7.27�03 g/100g), whereas Ab� provides more food fibres (6.67�14g/ 100g). Otherwise, the variety Danan� belating is richer in free soluble sugars (4.63�08 g/100 g), while Azi red displayed more moisture content (10.96�1%) and Gb阫l阛zi is richer in lipids with content of 1.26�21g/ 100g. The top ash and starch contents were respectively recovered from varieties Zonhonkloumin black (1.38�02 g/100 g) and Ab� (71.99�03g/ 100g).Conclusion: The studied rainfed rice record good nutritive traits above the widespread improved rice varieties. They remain significant caloric food resources thanks to considerable contents in glucides (varieties Ab�, Akita, Jbr鰇o, No-No-No, and Danan� I), proteins, lipids, and significant amount of food fibre (varieties Boumabou, Glawlon, Dikou�, Lo阦nini, and Danan� fowl) and minerals. This nutritive composition could permit their quite usages for consumers and researchers, even though other investigations on the functional nutritional compounds should be performed.

Application of rice bag in 1.5T MR imaging in maxillofacial / 实用放射学杂志

Objective To investigate the application value of rice bag in 1.5T MR imaging of maxillofacial frequency selective saturated fat suppression(FS)sequence.Methods Forty-one patients with maxillofacial MR examination were collected.Rapid fast spin echo(FSE)FS T2 routine scan and rice bag FSE FS T2 special scan were used to evaluate and analyze the sequence images of the two kinds by two experienced associate chief physicians in the department according to the Likert 7-point scoring system.The evaluation included FS,magnetic sensitive artifact,motion artifact,and overall image quality.Wilcoxon sign rank sum test was used to analyze the difference of image quality scores,and Kappa consistency test was used to analyze the correlation between two viewers.Results All the 41 patients completed the examination,and the FSE FS T2 plus rice bag group had significantly higher FS,magnetic sensitive artifact,motion artifact and overall image quality than the conventional FSE FS T2 group,with statistical significance(P<0.01).Kappa consistency was good in correlation analysis between the two viewers(Kappa value=0.737-0.877,P<0.01).Conclusion The application of rice bag in the 1.5T MR maxillofacial FS sequence scan has the advantages of good image quality,good FS effect and few artifacts,which can better display the maxillofacial anatomical structure and lesions,and has important clinical application value for the diagnosis of maxillofacial diseases.

Determination of 9 biogenic amines in yellow rice wine bynon-derivatization-PriME-ultra-high performanceliquid chromatography-tandem mass spectrometry / 预防医学

Objective@#To establish a non-derivatization-PriME-ultra-high performance liquid chromatography-tandem mass spectrometry method for simultaneou determination of 9 kinds of biogenic amines in yellow rice wine.@*Methods@#Yellow rice wine samples were purified by PriME HLB solid phase extraction column purification, separated using Waters XSelect HSS T3 column (150 mm×2.1 mm, 3 μm), and qualified using multiple reaction monitoring mode, electrospray ion source positive ion and external standard method.@*Results@#There was a good linear relationship for the 9 kinds of biogenic amines at 2.0 to 500.0 μg/L (r≥0.996). The limit of detection was 0.1 to 0.2 mg/L, and the limit of quantitation was 0.3 to 0.6 mg/L. The spike recovery rate of 9 kinds of biogenic amines ranged from 83.5% to 108.6% at 0.1 and 1.0 mg/L, with relative standard deviations of 2.8% to 8.7%.@*Conclusion@#Non-derivation-prime ultra-high performance liquid chromatography-tandem mass spectrometry can be used for the rapid quantitative detection of biogenic amines in yellow rice wine.

Mapping of QTL associated with rice cooking quality and candidate gene analysis / 生物工程学报

Excavating the quantitative trait locus (QTL) associated with rice cooking quality, analyzing candidate genes, and improving cooking quality-associated traits of rice varieties by genetic breeding can effectively improve the taste of rice. In this study, we used the indica rice HZ, the japonica rice Nekken2 and 120 recombinant inbred lines (RILs) populations constructed from them as experimental materials to measure the gelatinization temperature (GT), gel consistency (GC) and amylose content (AC) of rice at the maturity stage. We combined the high-density genetic map for QTL mapping. A total of 26 QTLs associated with rice cooking quality (1 QTL associated with GT, 13 QTLs associated with GC, and 12 QTLs associated with AC) were detected, among which the highest likelihood of odd (LOD) value reached 30.24. The expression levels of candidate genes in the localization interval were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR), and it was found that the expression levels of six genes were significantly different from that in parents. It was speculated that the high expression of LOC_Os04g20270 and LOC_Os11g40100 may greatly increase the GC of rice, while the high expression of LOC_Os01g04920 and LOC_Os02g17500 and the low expression of LOC_Os03g02650 and LOC_Os05g25840 may reduce the AC. The results lay a molecular foundation for the cultivation of new high-quality rice varieties, and provide important genetic resources for revealing the molecular regulation mechanism of rice cooking quality.

Investigation of Effect of Different Processed Products of Atractylodes chinensis Rhizoma on Rats with Spleen Deficiency Based on Pharmacodynamics and Metabolomics / 中国实验方剂学杂志

ObjectiveTo clarify the differences in the efficacy and mechanism of different processed products of Atractylodes chinensis rhizoma by the pharmacodynamics and metabolomics studies of raw， bran-fried and rice water-processed products on rats with spleen deficiency. MethodSixty male SD rats were randomly divided into blank group， model group， raw product group（3.75 g·kg-1）， bran-fried product group（3.75 g·kg-1）， rice water-processed product group（3.75 g·kg-1） and Shenling Baizhusan group（6.7 g·kg-1）， with 10 rats in each group. The method of excessive fatigue+improper diet was used to establish a spleen deficiency model in rats. After the end of modeling， except for the blank and model groups， each dosing group was given the corresponding drug suspension， the immune organ coefficients of each group of rats were examined， the levels of interleukin-6（IL-6）， tumor necrosis factor-α（TNF-α）， immunoglobulin G（IgG）， amylase（AMS）， motilin（MTL）， gastrin（GAS）， Na+-K+-adenosine triphosphatase（ATPase）， aquaporin 2（AQP2）， AQP3 and AQP8 in rats were measured by enzyme-linked immunosorbent assay（ELISA）. Ultra high performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS） combined with orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to search for biomarkers in the plasma samples of spleen-deficient rats by using two criteria［P<0.05 and variable importance in the projection（VIP） value>1］， and to compare the different modulatory effects of the three decoction pieces on the splenic-deficient biomarkers， and metabolic pathway analysis was conducted through the Kyoto Encyclopedia of Genes and Genomes（KEGG） database. ResultCompared with the blank group， the thymus index and spleen index of rats in the model group were significantly decreased（P<0.05）， the levels of IL-6， TNF-α， IgG and AQP2 were significantly increased（P<0.05）， the levels of AMS， GAS， MTL， AQP3， AQP8 and Na+-K+-ATPase were significantly decreased（P<0.05）. Compared with the model group， raw products， bran-fried products and rice water-processed products all increased thymus index and spleen index（P<0.05）， decreased IL-6， TNF-α， IgG and AQP2 levels（P<0.05）， and increased AMS， GAS， MTL， AQP3， AQP8 and Na+-K+-ATPase levels to different degrees. A total of 176 differential metabolites were screened in the model group compared with the blank group， of which 75， 72 and 84 biomarkers were called back by the raw products， bran-fried products and rice water-processed products， respectively（P<0.05， P<0.01）. Raw products of A. chinensis rhizoma mainly affected glycine， serine and threonine metabolism. Bran-fried products mainly affected alanine， aspartate and glutamate metabolism， D-arginine and D-ornithine metabolism. Rice water-processed products mainly affected glycine， serine and threonine metabolism， alanine， aspartate and glutamate metabolism， citrate cycle， thiamine metabolism， D-arginine and D-ornithine metabolism. ConclusionRaw products， bran-fried products and rice water-processed products of A. chinensis rhizoma all have good spleen strengthening effects， among which the effects of bran-fried products and rice water-processed products were stronger. Meanwhile， raw products has the strongest dryness， followed by bran-fried products， and the weakest dryness of rice water-processed products. The three decoction pieces are able to significantly modulate metabolic abnormalities in spleen-deficient rats， and the mechanism may be related to amino acid metabolism such as glycine， serine and threonine metabolism as well as alanine， aspartate and glutamate metabolism.

Synthesis, characterization and protection effect of black rice anthocyanins nano-composite against hepatotoxicity induced by methotrexate in rats

Abstract The present study aimed to investigate the beneficial of prepared black rice anthocyanins nano-composite (An-AgNps) against hepatotoxicity induced by methotrexate (MTX) in rats. Anthocyanins nano-composite was prepared by silver as the metallic ion reduction and were characterized by IR and SEM. The rats in our experiment were divided into five groups. Serum lipid profile, serum transaminases (ALT and AST), ALP, LDH, TBA, GSH and SOD were examined. The results show that SEM of An-AgNps has average particle size from 70 to 130nm. In the group treated with MTX; TC, TG, LDL-c, ALT, AST, ALP, LDH and TBA levels were significantly (P0.05) increased than NC, while, HDL-c, SOD and GSH levels were significantly (P0.05) decreased. On the other hand, An-AgNps + MTX treated groups were reversed the levels of all biomarkers similar to NC. In conclusion, the results show that An-AgNps has a protective effect on MTX-induced hepatotoxicity and oxidative stress.

Resumo O presente estudo teve como objetivo investigar o benefício de nanocompósito de antocianinas de arroz preto preparado (An-AgNps) contra a hepatotoxicidade induzida por metotrexato (MTX) em ratos. O nanocompósito de antocianinas foi preparado a partir da prata por meio da redução do íon metálico e caracterizado por IR e SEM. Os ratos em nosso experimento foram divididos em cinco grupos, e foram examinados o perfil lipídico sérico, as transaminases séricas (ALT e AST), ALP, LDH, TBA, GSH e SOD. Os resultados mostram que SEM de An-AgNps tem tamanho médio de partícula de 70 a 130 nm. No grupo tratado com MTX, os níveis de TC, TG, LDL-c, ALT, AST, ALP, LDH e TBA aumentaram significativamente (P 0,05) do que NC, enquanto os níveis de HDL-c, SOD e GSH diminuíram significativamente (P 0,05). Por outro lado, nos grupos tratados com An-AgNps + MTX, foram revertidos os níveis de todos os biomarcadores semelhantes ao NC. Em conclusão, os resultados mostram que o An-AgNps tem um efeito protetor contra a hepatotoxicidade induzida pelo MTX e o estresse oxidativo.

A disease predictive model based on epidemiological factors for the management of bacterial leaf blight of rice

Abstract Rice is a widely consumed staple food for a large part of the worlds human population. Approximately 90% of the worlds rice is grown in Asian continent and constitutes a staple food for 2.7 billion people worldwide. Bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae is one of the devastating diseases of rice. A field experiment was conducted during the year 2016 and 2017 to investigate the influence of different meteorological parameters on BLB development as well as the computation of a predictive model to forecast the disease well ahead of its appearance in the field. The seasonal dataset of disease incidence and environmental factors was used to assess five rice varieties/ cultivars (Basmati-2000, KSK-434, KSK-133, Super Basmati, and IRRI-9). The accumulated effect of two year environmental data; maximum and minimum temperature, relative humidity, wind speed, and rainfall, was studied and correlated with disease incidence. Average temperature (maximum & minimum) showed a negative significant correlation with BLB disease and all other variables; relative humidity, rainfall, and wind speed had a positive correlation with BLB disease development on individual varieties. Stepwise regression analysis was performed to indicate potentially useful predictor variables and to rule out incompetent parameters. Environmental data from the growing seasons of July to October 2016 and 2017 revealed that, with the exception of the lowest temperature, all environmental factors contributed to disease development throughout the cropping season. A disease prediction multiple regression model was developed based on two-year data (Y = 214.3-3.691 Max T-0.508 Min T + 0.767 RH + 2.521 RF + 5.740 WS), which explained 95% variability. This disease prediction model will not only help farmers in early detection and timely management of bacterial leaf blight disease of rice but may also help reduce input costs and improve product quality and quantity. The model will be both farmer and environmentally friendly.

Resumo O arroz é um alimento básico amplamente consumido por grande parte da população humana mundial. Aproximadamente 90% do arroz do mundo é cultivado no continente asiático e constitui um alimento básico para 2,7 bilhões de pessoas em todo o mundo. O crestamento bacteriano das folhas (BLB) causado por Xanthomonas oryzae pv. oryzae é uma das doenças devastadoras do arroz. Um experimento de campo foi realizado durante os anos de 2016 e 2017 para investigar a influência de diferentes parâmetros meteorológicos no desenvolvimento do BLB, bem como o cálculo de um modelo preditivo para prever a doença bem antes de seu aparecimento em campo. O conjunto de dados sazonais de incidência de doenças e fatores ambientais foi usado para avaliar cinco variedades/cultivares de arroz (Basmati-2000, KSK-434, KSK-133, Super Basmati e IRRI-9). O efeito acumulado de dados ambientais de dois anos; temperatura máxima e mínima, umidade relativa do ar, velocidade do vento e precipitação pluviométrica foram estudados e correlacionados com a incidência da doença. A temperatura média (máxima e mínima) apresentou correlação significativa negativa com a doença BLB e todas as outras variáveis; umidade relativa, precipitação e velocidade do vento tiveram uma correlação positiva com o desenvolvimento da doença BLB em variedades individuais. A análise de regressão stepwise foi realizada para indicar variáveis preditoras potencialmente úteis e para descartar parâmetros incompetentes. Os dados ambientais das safras de julho a outubro de 2016 e 2017 revelaram que, com exceção da temperatura mais baixa, todos os fatores ambientais contribuíram para o desenvolvimento da doença ao longo da safra. Um modelo de regressão múltipla de previsão de doença foi desenvolvido com base em dados de dois anos (Y = 214,3-3,691 Max T-0,508 Min T + 0,767 RH + 2,521 RF + 5,740 WS), que explicou 95% de variabilidade. Este modelo de previsão de doenças não só ajudará os agricultores na detecção precoce e gestão atempada da doença bacteriana das folhas do arroz, mas também pode ajudar a reduzir os custos de insumos e melhorar a qualidade e a quantidade do produto. O modelo será agricultor e ambientalmente amigável.

A disease predictive model based on epidemiological factors for the management of bacterial leaf blight of rice / Um modelo preditivo de doenças baseado em fatores epidemiológicos para o manejo da queima bacteriana das folhas do arroz

Rice is a widely consumed staple food for a large part of the world's human population. Approximately 90% of the world's rice is grown in Asian continent and constitutes a staple food for 2.7 billion people worldwide. Bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae is one of the devastating diseases of rice. A field experiment was conducted during the year 2016 and 2017 to investigate the influence of different meteorological parameters on BLB development as well as the computation of a predictive model to forecast the disease well ahead of its appearance in the field. The seasonal dataset of disease incidence and environmental factors was used to assess five rice varieties/ cultivars (Basmati-2000, KSK-434, KSK-133, Super Basmati, and IRRI-9). The accumulated effect of two year environmental data; maximum and minimum temperature, relative humidity, wind speed, and rainfall, was studied and correlated with disease incidence. Average temperature (maximum & minimum) showed a negative significant correlation with BLB disease and all other variables; relative humidity, rainfall, and wind speed had a positive correlation with BLB disease development on individual varieties. Stepwise regression analysis was performed to indicate potentially useful predictor variables and to rule out incompetent parameters. Environmental data from the growing seasons of July to October 2016 and 2017 revealed that, with the exception of the lowest temperature, all environmental factors contributed to disease development throughout the cropping season. A disease prediction multiple regression model was developed based on two-year data (Y = 214.3-3.691 Max T-0.508 Min T + 0.767 RH + 2.521 RF + 5.740 WS), which explained 95% variability. This disease prediction model will not only help farmers in early detection and timely management of bacterial leaf blight disease of rice but may also help reduce input costs and improve product quality and quantity. The model will be both farmer and environmentally friendly.

O arroz é um alimento básico amplamente consumido por grande parte da população humana mundial. Aproximadamente 90% do arroz do mundo é cultivado no continente asiático e constitui um alimento básico para 2,7 bilhões de pessoas em todo o mundo. O crestamento bacteriano das folhas (BLB) causado por Xanthomonas oryzae pv. oryzae é uma das doenças devastadoras do arroz. Um experimento de campo foi realizado durante os anos de 2016 e 2017 para investigar a influência de diferentes parâmetros meteorológicos no desenvolvimento do BLB, bem como o cálculo de um modelo preditivo para prever a doença bem antes de seu aparecimento em campo. O conjunto de dados sazonais de incidência de doenças e fatores ambientais foi usado para avaliar cinco variedades/cultivares de arroz (Basmati-2000, KSK-434, KSK-133, Super Basmati e IRRI-9). O efeito acumulado de dados ambientais de dois anos; temperatura máxima e mínima, umidade relativa do ar, velocidade do vento e precipitação pluviométrica foram estudados e correlacionados com a incidência da doença. A temperatura média (máxima e mínima) apresentou correlação significativa negativa com a doença BLB e todas as outras variáveis; umidade relativa, precipitação e velocidade do vento tiveram uma correlação positiva com o desenvolvimento da doença BLB em variedades individuais. A análise de regressão stepwise foi realizada para indicar variáveis preditoras potencialmente úteis e para descartar parâmetros incompetentes. Os dados ambientais das safras de julho a outubro de 2016 e 2017 revelaram que, com exceção da temperatura mais baixa, todos os fatores ambientais contribuíram para o desenvolvimento da doença ao longo da safra. Um modelo de regressão múltipla de previsão de doença foi desenvolvido com base em dados de dois anos (Y = 214,3-3,691 Max T-0,508 Min T + 0,767 RH + 2,521 RF + 5,740 WS), que explicou 95% de variabilidade. Este modelo de previsão de doenças não só ajudará os agricultores na detecção precoce e gestão atempada da doença bacteriana das folhas do arroz, mas também pode ajudar a reduzir os custos de insumos e melhorar a qualidade e a quantidade do produto. O modelo será agricultor e ambientalmente amigável.

Effect of Different Method of Rice Establishment and Weed Management Options on Yield and Economics of Paddy

A field experiment was conducted during rabi 2022 at Zonal Agricultural and Horticultural Research Station, Brahmavara, Udupi, Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Shivamogga, on sandy loam soil to study the effect of different method of rice establishment and weed management options on yield and economics of paddy. The experiment was laid out in Factorial Randomized Complete Block Design with broadcasting and drum seeder method of establishment and five treatment combinations, replicated thrice. The study revealed that, the weed free treatment maintained by hand weeding recorded highest growth parameters and rice grain yield. The sequential application of pre-emergence herbicide pendimethalin 38.7 % CS @ 750 g a.i. ha-1 at 0-3 DAS (fb) early post-emergence application of bispyribac sodium 10 % SC @ 25 g a.i ha-1 at 13-15 DAS, recorded lowest total weed density (36.92, 31.73 and 40.45 No. m-2) at 15, 30 and 45 DAS, respectively and lower weed index (7.23%) under drum seeder method of establishment . The yield and yield attributing parameters like number of tillers (291.33 m-2), panicle length (19 cm), filled grains (89.33 panicle-1), grain yield (4221 kg ha-1) and straw yield (5387 kg ha-1) were observed in sequential application of pre-emergence herbicide pendimethalin 38.7 % CS @ 750 g a.i. ha-1 at 0-3 DAS (fb) early post-emergence application of bispyribac sodium 10 % SC @ 25 g a.i ha-1 at 13-15 DAS under the drum seeder method of establishment. The highest net return (? 82586 ha-1) and B:C ratio (2.81) was also recorded in the same treatment.

Assessment and Comparison of Soil Quality Using Principal Components Analysis (PCA) & Expert Opinion (EO) Methods in different Rice-based Cropping Systems in Alfisol

The present study was undertaken to assess and compare soil quality using principal components analysis (PCA) and expert opinion (EO) methods in different rice-based cropping systems in Alfisol. In both the PCA and EO methods rice cultivation in rotation with legumes (chickpea and field pea) sustained significantly better soil quality than that of RW and RF cropping systems and established a good relationship between soil quality index (SQI) and defined soil functions. The study confirmed that the integration of legumes into the rice-based cropping systems will ensure the maintenance of soil quality and environmental stability under intensive” cultivation. However, the PCA method was found comparatively better for soil quality assessment in the North Hill region.

Studies of Farmer Participatory on Machine Transplanting of Rice

Front line demonstration on machine transplanting of rice were organised in Telangana state. A total of 20 Front Line demonstrations were organized in 20 ha. Best management practices of Rice production were demonstrated for getting higher net returns in both machine transplanted rice and manual transplanted rice. The demonstrations got yield of 6874 kg/ha. The manual transplanting recorded an average of 6530 kg/ha. Average cost of cultivation, gross returns, net returns and benefit cost ratio of machine transplanted rice was recorded as Rs. 49474/ha, 13090/ha, 81435/ha and 2.7 respectively over the manual transplanting Rs.54138/ha, Rs.124528/ha, Rs.70391 and 2.3. Machine transplanting of rice is the successful technology for reaping higher returns to overcome labour shortage and for timely transplanting.

Assessing the Effectiveness of Climate-Resilient Rice Varieties in Building Adaptive Capacity for Small-Scale Farming Communities in Assam

Rice crop in Assam constitutes a significant portion of the cultivated area, covering around sixty percent of the total area. The state, like many others, confronts the repercussions of climate change, notably evident in recurrent floods that impact agricultural lands. The shifting climate, marked by rising temperatures and increased rainy days, poses threats to crop production. Despite witnessing overall productivity growth, the state grapples with persistent challenges related to flood-induced losses. In response to this, climate-resilient rice varieties were developed to withstand submergence. This study delves into the assessment of the impact of these climate-resilient rice varieties on yield, income, and adoption among farmers. Concentrating on Golaghat and Sivasagar districts, where 106 farmers were interviewed, the research addresses the prevalent challenges in rice cultivation due to changing rainfall patterns. The introduced varieties underwent demonstration in plots, and their effects on yield, income, and adoption were comprehensively evaluated. The study additionally scrutinized the technology and extension gaps in the area, utilizing various indices such as the technology gap, extension gap, technology index, and benefit-cost ratio to measure the efficacy of the introduced varieties. The findings of the study highlight disparities between recommended agricultural practices and the actual methods employed by farmers. Despite these challenges, the introduction of climate-resilient varieties resulted in a noteworthy increase in yield. Economic analysis revealed enhanced profitability from B:C ratio of 0.43 to1.06 and positive changes in economic indicators. The adoption and horizontal spread of these varieties were substantial, with a significant rise from 106 to 378 in the number of adopters and expanded cultivation areas. Overall, the study emphasizes the success of climate-resilient rice varieties in augmenting yield, income, and adoption among farmers. The positive economic changes, coupled with heightened awareness, underscore the importance of promoting such varieties. The study advocates for sustained efforts in disseminating climate-resilient varieties, emphasizing their pivotal role in enhancing farmers' climate resilience. Addressing the identified discrepancies in agricultural practices emerges as a crucial step toward fostering sustainability and optimizing crop yield in the region.

Effect of Pretilachlor 50% EC on Weed Control of Transplanted Rice under Alluvial Soil of West Bengal, India

Field experiments were conducted at Regional Research Station of Bidhan Chandra Krishi Viswavidyalaya, Gayeshpur, West Bengal during winter season of 2014 and 2015 to evaluate the bio-efficacy against weeds & phytotoxicity of pretilachlor 50% EC on transplanted rice. The experiment was tested under randomized complete block design with three replicates. Among the herbicides, highest weed control index was recorded in pretilachlor 50% EC @ 2 kg a.i. ha-1 which imparted phytotoxic symptoms in rice plants resulting in yield reduction. However, the highest grain yield (3.59 t ha-1) was obtained with the application of pretilachlor 50% EC @ 1.2 kg a.i. ha-1 which was statistically at par with twice hand weeding. From these findings it can be concluded that the application of pretilachlor 50% EC @ 1.2 kg a.i. ha-1 can be recommended for effective weed management in transplanted rice in the study area.

Physiological Insights of Melatonin Hormone for Alleviation of Drought Stress in Rice

Drought stress significantly hampers crop growth and yield by negatively impacting various biochemical and physiological plant processes. This study aimed to assess drought tolerance in traditional rice varieties using Poly Ethylene Glycol 6000 (PEG 6000) and focused on the effectiveness of melatonin applied through both seed treatment and foliar spray in mitigating the effects of drought stress. The optimal drought screening conditions were determined at a PEG concentration of -4 bars. As the PEG concentration increased, key factors such as germination percentage, vigor index, root length, and shoot length decreased. This indicates that PEG can be a useful tool for early selection of drought tolerant rice varieties. Melatonin (N-acetyl-5-methoxytryptamine), known for alleviating abiotic stress, showed positive effects on seed germination at 200 ppm concentration. The study observed that stomatal closure is a natural response to drought stress, but melatonin application induced partial stomatal opening. Notably, a foliar spray of 100 ppm melatonin demonstrated better recovery from drought stress compared to the 200 ppm concentration. In conclusion, the research suggests that seed treatment with 200 ppm melatonin and foliar spraying with 100 ppm melatonin are the most effective approaches for reducing the adverse effects of drought stress in rice plants.

Impact of Pre and Post-emergence Herbicide Mixtures in Direct Seeded Rice (Oryza sativa L.)

Rice (Oryza sativa L.) is a major source of food for more than half of the world population especially in South and Southeast Asia and Latin America. A field experiment was conducted at Krishi Vigyan Kendra, Yamunanagar district, Haryana during Kharif season of 2022 to study the effect of pre and post-emergence herbicides combinations herbicides in direct-seeded rice under irrigated condition. The experiment was laid out in a Randomized block design with three replications. The weed management treatments were T1: Pendimethalin + pyrazosulfuron T2:Pendimethalin + pyroxasulfone, T3:Pretilachlor + pyrazosulfuron, T4: Fenoxaprop-p-ethyl with safener + ethoxysulfuron,T5: Cyhalofop-butyl + penoxsulam and metsulfuron-methyl + chlorimuron-ethyl, T6.:Triafamone + ethoxysulfuron, T7: Pendimethalin + pyrazosulfuron fb bispyribac-sodium, T8: Pendimethalin + pyroxasulfone fb bispyribac-sodium, T9:Pretilachlor + pyrazosulfuron fb bispyribac-sodium, T10:Pendimethalin fb fenoxaprop-p-ethyl + ethoxysulfuron T11: Weed free, T12:Weedy check. Among herbicides, application T10 (pendimethalin fb fenoxaprop-p-ethyl + ethoxysulfuron) and T5 (cyhalofop-butyl+ penoxsulam and metsulfuron methyl + chlorimuron ethy (pre-mix) was superior over other treatment. Application of pendimethalin fenoxaprop-p-ethyl + ethoxysulfuron reduced 58.89% grassy weed and 50 % BLWs compared to weedy check plot at 60 DAS. Assessment at 60 DAS and at harvest showed that bispyribac-sodium was effective in controlling E. colona and E. crus-galli. However, bispyribac-sodium did not control D. aegyptium and L. chinensis. Fenoxaprop significantly reduced the densities of Dactyloctenium aegyptium, L. chinensis, and Digitaria sanguinalis. Fenoxaprop tank-mix with ethoxysulfuron appeared to be synergistic for the control of E. crusgalli and E. colona, and Cyperus sp. as this tank mixture. Integration of pendimethalin fb fenoxaprop-p-ethyl+ ethoxysulfuron provided control of all type of weeds with highest grain yield (6.1 t ha-1) among different treatments which was statistically at par with weed free (6.3 t ha-1). In economics points of views, the highest B-C ratio (3.03) was obtained in cyhalofop-butyl + penoxsulam + metsulfuron methyl + chlorimuron ethy followed by pendimethalin fb fenoxaprop-p-ethyl + ethoxysulfuron (2.98).

Genetic Divergence and Variability Assessment of Rice (Oryza sativa L.) Genotypes for Yield and its Contributing Traits

For over half of the world's population, rice is the primary food. An increasing population requires higher yield levels, which must be achieved. In order to construct breeding strategies and improve production, variability must be created. Fourteen distinct parameters were used to examine genetic variability in forty enhanced rice genotypes. Genotypes exhibited moderate values of GCV and PCV for effective tillers per plant, panicle length, grains per panicle, 1000 grain weight, grain yield per plant, straw yield per plant and length/birth ratio and high values for protein content indicating the greater scope of improving these characters by applying judicious selection. High heritability coupled with high genetic advance as percentage of mean showed by straw yield per plant, grain yield per plant, grains per panicle, 1000 grain weight and effective tillers per plant indicated higher additive gene action in these traits thus improvement by direct phenotypic selection over the genotypes would be worth it. D2 statistics were estimated on forty genotypes which revealed generalized distance (D) from 17.54 to 55.25 between five clusters, indicating the presence of vast diversity. Considerable higher intra and inter cluster values revealed a very interesting trend of genetic diversity. The maximum inter cluster distance was found between clusters II and III followed by clusters III and V. Based on cluster analysis intercrossing among the genotypes in distant clusters would produce highly heterotic progenies. Maximum contribution towards the divergence was exhibited by protein content followed by days to 50 per cent flowering and 1000 grain weight.

Genetic Divergence Analysis for Yield and Quality Traits in Rice (Oryza sativa L.) Germplasm under Irrigated Conditions

The present investigation was carried out to conduct genetic divergence analysis for yield and quality traits in rice (Oryza sativa L.) germplasm under irrigated conditions. The experiment was conducted at crop research farm, Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences. Prayagraj. The experiment was performed with 40 rice genotypes with 13 quantitative characters and 8 qualitative characters. Analysis of variance revealed that all the genotypes showing significant at 1% level of significance for all the characters. According to mean table Shiats dhan-7, Shiats dhan-2 show greater mean in grain yield per plant. Genetic parameters show PCV greater than GCV in all the characters, the traits Grain yield per plant and biological yield exhibits greater in both GCV and PCV. Heritability showing high range of estimates in all the characters as Days to maturity, Days to 50% flowering exhibit greater among all the characters. Number of spikelets per panicle, biological yield shows highest among the characters in Genetic advance. According to D2 analysis, the total genotypes are divided into five clusters, Cluster II showing greater in Intra cluster distance, Cluster V and Cluster I combination showing greater in Inter cluster distances. The Cluster IV showing highest among the clusters in the mean of Grain yield per plant. According to percentage contribution Grain yield per plant showing highest among the characters. Quality analysis had done on 35 genotypes, based upon quality characters Hulling percentage showing genotype Ajaya greater and genotype MTU-2032 shows greater in Kernel elongation ratio.

Effect of Foliar Application of Nutrients on Yield and Nutrient Uptake by Rice Crop

A field experiment was conducted during 2018 and 2019 at the Agronomy Research farm of A.N.D. University of Agriculture and Technology, Kumarganj, Ayodhya, UP to evaluate the effect of foliar application of macro and micronutrients on yield and nutrient uptake of rice (Oryza sativa L.). The experiment consists of 10 treatment combinations with some foliar application macro and micronutrients two foliar spray tillering stages and a panicle initiation stage which were laid out in randomized block design with three replications. The results revealed maximum grain yield (38.50 and 40.40 q ha-1), straw (51.90 and 54.60 q ha-1), and harvest index (42.64 and 42.53 %) with treatment T10-75% RDF + WSCF @ 0.5 % (19:19:19) + ZnSO4 @ 0.5 % + Boron @ 0.25 % which was statistically at par with T3- 125 % RDF and significantly superior over rest of the treatments during both the years ., was recorded Similarly significant improvement in nutrient uptake (N, P, K, S, Zn, and B) by rice was observed in T10. Thus, it can be concluded that the application of 75% RDF + WSCF @ 0.5 % (19:19:19) + ZnSO4 @ 0.5 % + Boron @ 0.25 % can improve the yield and nutrient uptake.

Panicle Architecture in Enhancing Grain Yield in Rice (Oryza sativa L.)

The architecture of the rice panicle is a crucial focus in breeding for both high yield and quality. It stands as a significant agronomic trait that influences the number of grains per panicle, playing a direct role in contributing to the overall yield of rice grains. Unravelling the genetic basis of panicle architecture is crucial for improving the grain yield in rice. In this study, the panicle architecture traits were meticulously dissected into five distinct components viz., number of primary rachis, number of secondary rachis, grain number on primary rachis, grain number on secondary rachis and total grain number. These components were systematically phenotyped in F2 and F3 population derived from a cross between DRR Dhan 48 and Maudamani. ‘DRR Dhan 48’ is a biofortified elite fine grain medium slender grain type cultivar with high zinc (22 ppm in polished rice) and low glycemic index (51.1). It has resistance to bacterial blight with the incorporation of xa5, xa13 and Xa21 in the background of Improved Samba Mahsuri. ‘Maudamani’ is a high yielding cultivar with high grain number and short bold grain type. Analysis of variance, histograms and boxplots revealed highly significant variation for the studied traits. Grain number in F2 population ranged from 29 to 333 grain with a mean of 162.72 whereas in F3, its varied from 49 to 368 with a mean of 184.17. Correlation analysis revealed significant correlation among the studied traits. The continuous variation observed in the population for panicle traits indicates that genetic control is governed by multiple minor loci. The presence of superior transgressive segregants highlights a complementary gene action influencing panicle architecture traits. The present investigation on panicle architecture offers scope for improving rice varieties and creating new germplasm resources and provides valuable information for further unravelling the genetic basis determining rice panicle architecture.