ABSTRACT
The relevance of Water in human life and agro-ecosystems has been extensively illustrated for decades around the globe. Despite the reality that the earth is mostly surrounded by water, its utility has been limited to domestic consumption and agricultural purposes. Thus, tweaking water usage in agricultural systems has been a tricky problem in order to meet the requirements of the growing population and to obtain more crop yield per drop of water in agriculture. In this review, an attempt has been made to revisit the methods available to improve water use efficiency in agriculture.
ABSTRACT
The experiment was conducted to study the comparative performance and blast disease screening 80 diverse rice cultivars including land races, obsolete varieties, modern cultivars and released varieties, local prevailing cultivars and advanced breeding/varietal lines as AICRIP testing trials for two successive seasons during Kharif-2021 and Kharif-2022 at AHRS Ponnampet, Karnataka- India, The results from ANOVA revealed that, MSS due to genotypes, were significant (p<0.01 and p<0.05) for all the yield traits studied. GYKH was varied from 270.65-6039.89, while 940.17-6039.88 with mean grain yield Kg/ha of 3596.01 and 3483.92 kg/ha during Kh-21 and Kh-22. High GCV and PCV with high heritability coupled with high GAM were observed for GYKH, while the remaining traits revealed low to medium GCV and PCV, heritability coupled with low to medium GAM. Correlation analysis revealed that significant and positive association was observed for PH, DFF, PL and GYKH. PCAs revealed that PC1, PC2 and PC3 showed 32.45%, 29.66% and 14.83% of contribution with 76.94% of total variation during Kharif-21 and 33.20%, 29.67% and 14.33% of contribution with 77.20% of variation for the studied traits during Kharif-22 respectively. Field screening of leaf and neck blast under natural hot spot area among 80 diverse genotypes resulted in identification of resistant sources as KPR-1, KPR-2, KHP-5, Mud-1014, IET-28515 and Kajajaya with promising yield performances.
ABSTRACT
Black pepper is highly sensitive to water deficit stress especially during summer, resulting in significant losses in yield; therefore, strategies aimed at enhancing water stress tolerance are essential. Melatonin improves stress tolerance in plants; however, its method of application and optimum concentration in black pepper under water deficit stress remains unclear. Therefore, we conducted a two pot culture experiment during March and April, 2022 (var. Panniyur-1) to investigate the effects of foliar-sprayed and root-irrigated melatonin (50, 100 and 150 µM L-1) on the recovery per cent and physiological mechanism under water stress. The treatment details were, WW - Well-watered; WS - Water stressed; FM50 - Waterstress+50µM Melatonin (Foliar spray); FRM50 - Water stress + 50µM Melatonin (Foliar spray + Soil drenching @ 50ml/plant); FM100 - Water stress + 100µM Melatonin (Foliar spray); FRM100 - Water stress + 100µM Melatonin (Foliar spray + Soil drenching @ 50ml/plant); FM150 - Water stress + 150µM Melatonin (Foliar spray); FRM150 - Water stress + 150µM Melatonin (Foliar spray + Soil drenching @ 50ml/plant). The melatonin-induced enhanced stress tolerance could be attributed to improved recovery %, leaf relative water content, photosynthetic pigments, activity of antioxidant enzymes (SOD, POD, and CAT), and ultimately significantly relieved the inhibitory effects of water stress on leaves. After rehydration, melatonin-treated plants recovered more quickly than untreated plants. In addition, melatonin counteracted the water stress induced accumulation in proline content. Overall, the results of this study demonstrated that melatonin at 100 µM L-1 (Foliar spray and root irrigation) significantly alleviated the adverse effects of water deficit stress compared untreated plants. In addition, application of exogenous melatonin combined with root and foliar application is superior than foliar spraying alone.
ABSTRACT
Genetic variability is a major component which helps in selecting better genotypes under different environmental conditions. Thus, this study was conducted to understand the genetic variability and its components and their trait associations of yield characters from the cross of GKVK-13 and KCG-2 that contribute to the F6 and F7 families. In an augmented block design with three checks, TMV-2, KCG-6, and KCG-2, the study was carried out at the University of Agricultural Sciences, Bangalore, in the 2017 summer and Kharif (rainy seasons). Highly significant differences between the families were found in the analysis of variance for all the characters studied in the F6 and F7 generations, indicating that there is enough variation. Furthermore, medium to high Phenotypic coefficient of variation and Genotypic coefficient of variation values coupled with high heritability and medium to high genetic advance as per cent mean observed in most of the traits showed that the majority of the attributes were controlled by additive gene activity and that there was adequate variability. In addition, phenotypic correlation coefficients depicted significant positive associations for most of the traits studied. The implications of the results are discussed. The study concludes that there was the presence of additive genes controlling most of the traits and early selection of these traits is possible for groundnut improvement in the breeding programme.
ABSTRACT
Rice lines need to be grown and evaluated for yield under different agro-ecological locations to identify stable and high-yielding lines for deployment in breeding programs. With this aim, a set of rice germplasm was evaluated for G×E in four different environments (E1-Dadesuguru-Wet 2020, E2-ICAR–IIRR-Dry 2019, E3-ICAR–IIRR-Wet 2020, E4-ICAR–IIRR-Dry 2020). The experimental trial was laid out in a randomized complete block (RCB) design with three replications at each location for 118 rice lines. Data on yield per plant was analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype, and Genotype × Environment Interaction (GGE) models. The combined analysis of variance (ANOVA) manifested significant variations for tested genotypes, locations, years, genotype × year, and genotype × location interactions revealing the influence of environmental factors on yield traits. All four environments showed discrimination power, whereas E2 and E3 were found as the representative environment as they fall near the Average-Environment axis (AEA). The AMMI biplot PC1 contributed 79.20% variability and PC2 contributed 15.18% variability. From the GGE biplot analysis, the rice lines Phouren, JBB-631-1, and JBB-1325 were found to be the best and most stable. The rice lines Phouren, PUP-229, and TI-112 were stable in the first sub-group Dhadesugur-Wet 2020 (E1). The rice lines Langphou, and NPK-45 were stable in the second sub-group ICAR-IIRR-Wet 2020 (E3). Environment ICAR-IIRR-Dry 2019 (E2) was the third subgroup and the rice lines Moirangphou-Yenthik and TI-3 topped for the same. The ICAR IIRR-Dry 2020 (E4) environment formed the fourth subgroup where Phouren-Amubi, TI-128 and JBB-1325 topped the season. In conclusion, this study revealed that G × E interactions are significant for yield variation, and its AMMI and biplots analysis are efficient tools for visualizing the response of genotypes to different locations.
ABSTRACT
The foliar fungal disease late leaf spot (LLS) caused by Cercospora personata is a major and widely distributed disease. Cause substantial yield loss and in combination with the diseases increased up to 70 per cent in India. Therefore, to reduce the effect of disease and yield penalty effective chemical control mainly depends on multiple fungicide applications which are costly for resource-poor farmers and also raise environmental and health concerns. Therefore, to reduce the cost of production the development of resistant cultivars is an eco-friendly concept, with this research gap study was conducted to identify groundnut families with high yield and resistance to late leaf spot disease. From 60 F7 families of three crosses (GKVK-16 × KCG-2, GKVK-13 × KCG-2 and GKVK-6 × KCG-2 along with checks KCG-6, KCG-2 and TMV-2) which were evaluated in augmented design during Kharif 2017 in disease plot and control plot, disease screening was done using a modified 9-point scale. Disease scoring was done at 60, 90 and 120 days after sowing (pod filling stage). The disease scores were mainly based on the extent of leaf area damage. Results depicted that among the 60 families, 19 families showed consistence performance both at normal and disease plots. However, three families showed differences in the pod yield both at normal and disease plots. The families that exhibited resistance to LLS disease showed per cent yield reduction that ranged from 0-35%, and moderately resistant families exhibited a yield reduction from 35-50%, however, 50-90% yield reduction was observed in the families which showed moderate susceptibility, further more than 100% yield reduction was noticed in the families which are susceptible to LLS disease in three crosses of groundnut. High values of GCV and high PCV, high heritability coupled with high GAM were observed for PDI at 60th, PDI at 90th and PDI at 120th days after sowing in all three crosses. Among 14 superior families six, among 13 superior families eight, and from three superior families one family showed resistance to LLS disease from the cross GKVK-16×KCG-2, GKVK-13×KCG-2 and GKVK-6×KCG-2 respectively. Therefore, these identified families will be forwarded for muti-location disease and further yield stabilization.