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1.
J Exp Bot ; 72(13): 4981-4992, 2021 06 22.
Article in English | MEDLINE | ID: mdl-33852008

ABSTRACT

Direct selection for yield under drought has resulted in the release of a number of drought-tolerant rice varieties across Asia. In this study, we characterized the physiological traits that have been affected by this strategy in breeding trials across sites in Bangladesh, India, and Nepal. Drought- breeding lines and drought-tolerant varieties showed consistently longer flag leaves and lower stomatal density than our drought-susceptible check variety, IR64. The influence of environmental parameters other than drought treatments on leaf traits was evidenced by close grouping of treatments within a site. Flag-leaf length and width appeared to be regulated by different environmental parameters. In separate trials in the Philippines, the same breeding lines studied in South Asia showed that canopy temperature under drought and harvest index across treatments were most correlated with grain yield. Both atmospheric and soil stress strengthened the relationships between leaf traits and yield. The stable expression of leaf traits among genotypes and the identification of the environmental conditions in which they contribute to yield, as well as the observation that some breeding lines showed longer time to flowering and higher canopy temperature than IR64, suggest that selection for additional physiological traits may result in further improvements of this breeding pool.


Subject(s)
Droughts , Oryza , Edible Grain , Oryza/genetics , Plant Breeding , Plant Leaves
2.
J Sci Food Agric ; 100(11): 4150-4164, 2020 Aug 30.
Article in English | MEDLINE | ID: mdl-32421211

ABSTRACT

BACKGROUND: Nutrient deficiency in humans, especially in children and lactating women, is a major concern. Increasing the micronutrient concentration in staple crops like rice is one way to overcome this. The micronutrient content in rice, especially the iron (Fe) and zinc (Zn) content, is highly variable. The identification of rice genotypes in which there are naturally high Fe and Zn concentrations across environments is an important target towards the production of biofortified rice. RESULTS: Phenotypic correlations between grain Fe and Zn content were positive and significant in all environments but a significant negative association was observed between grain yield and grain Fe and Zn. Promising breeding lines with higher Zn or Fe content, or both, were: IR 82475-110-2-2-1-2 (Zn: 20.24-37.33 mg kg-1 ; Fe: 7.47-14.65 mg kg-1 ); IR 83294-66-2-2-3-2 (Zn: 22-37-41.97 mg kg-1 ; Fe: 9.43-17.16); IR 83668-35-2-2-2 (Zn: 27.15-42.73 mg kg-1 ; Fe: 6.01-14.71); IR 68144-2B-2-2-3-1-166 (Zn: 23.53-40.30 mg kg-1 ; Fe: 10.53-17.80 mg kg-1 ) and RP Bio 5478-185M7 (Zn: 22.60-40.07 mg kg-1 ; Fe: 7.64-14.73 mg kg-1 ). Among these, IR82475-110-2-2-1-2 (Zn: 20.24-37.33 mg kg-1 ; Fe: 7.47-14.65 mg kg-1 ) is also high yielding with 3.75 t ha-1 . Kelhrie Cha (Zn: 17.76-36.45 mg kg-1 ; Fe: 7.17-14.77 mg kg-1 ), Dzuluorhe (Zn: 17.48-39.68 mg kg-1 ; Fe: 7.89-19.90 mg kg-1 ), Nedu (Zn: 18.97-43.55 mg kg-1 Fe: 8.01-19.51 mg kg-1 ), Kuhusoi-Ri-Sareku (Zn: 17.37-44.14 mg kg-1 ; Fe: 8.99-14.30 mg kg-1 ) and Mima (Zn: 17.10-45.64 mg kg-1 ; Fe: 9.97-17.40 mg kg-1 ) were traditional donor genotypes that possessed both high grain Fe and high Zn content. CONCLUSION: Significant genotype × location (G × L) effects were observed in all traits except Fe. Genetic variance was significant and was considerably larger than the variance of G × L for grain Zn and Fe content traits, except grain yield. The G × L × year variance component was significant in all cases. © 2020 Society of Chemical Industry.


Subject(s)
Gene-Environment Interaction , Iron/analysis , Oryza/genetics , Seeds/chemistry , Zinc/analysis , Genotype , Iron/metabolism , Micronutrients/analysis , Micronutrients/metabolism , Oryza/chemistry , Oryza/metabolism , Phenotype , Plant Breeding , Quantitative Trait Loci , Seeds/genetics , Seeds/metabolism , Trace Elements/analysis , Trace Elements/metabolism , Zinc/metabolism
3.
Plant Soil ; 417(1): 377-392, 2017.
Article in English | MEDLINE | ID: mdl-31258196

ABSTRACT

AIMS: Drought is the major constraint to rainfed rice productivity in South Asia, but few reports provide detailed characterization of the soil properties related to drought stress severity in the region. The aim of the study was to provide a compilation of drought breeding network sites and their respective levels of drought stress, and to relate soil parameters with yield reduction by drought. METHODS: This study characterized levels of drought stress and soil nutrient and physical properties at 18 geographically distributed research station sites involved in rice varietal screening in Bangladesh, India, and Nepal, as well as at farmers' fields located near the research stations. RESULTS: Based on soil resistance to penetration profiles, a hardpan was surprisingly absent at about half of the sites characterized. Significant relationships of depth of compaction and yield reduction by drought indicated the effects of soil puddling on susceptibility to cracking, rather than water retention by hardpans, on plant water availability in this region. The main difference between research stations and nearby farmers' fields was in terms of soil compaction. CONCLUSIONS: These results present an initiative for understanding the range of severities of reproductive-stage drought stress in drought-prone rainfed lowland rice-growing areas in South Asia.

4.
PLoS One ; 10(5): e0122165, 2015.
Article in English | MEDLINE | ID: mdl-25970600

ABSTRACT

A pearl millet inbred germplasm association panel (PMiGAP) comprising 250 inbred lines, representative of cultivated germplasm from Africa and Asia, elite improved open-pollinated cultivars, hybrid parental inbreds and inbred mapping population parents, was recently established. This study presents the first report of genetic diversity in PMiGAP and its exploitation for association mapping of drought tolerance traits. For diversity and genetic structure analysis, PMiGAP was genotyped with 37 SSR and CISP markers representing all seven linkage groups. For association analysis, it was phenotyped for yield and yield components and morpho-physiological traits under both well-watered and drought conditions, and genotyped with SNPs and InDels from seventeen genes underlying a major validated drought tolerance (DT) QTL. The average gene diversity in PMiGAP was 0.54. The STRUCTURE analysis revealed six subpopulations within PMiGAP. Significant associations were obtained for 22 SNPs and 3 InDels from 13 genes under different treatments. Seven SNPs associations from 5 genes were common under irrigated and one of the drought stress treatments. Most significantly, an important SNP in putative acetyl CoA carboxylase gene showed constitutive association with grain yield, grain harvest index and panicle yield under all treatments. An InDel in putative chlorophyll a/b binding protein gene was significantly associated with both stay-green and grain yield traits under drought stress. This can be used as a functional marker for selecting high yielding genotypes with 'stay green' phenotype under drought stress. The present study identified useful marker-trait associations of important agronomics traits under irrigated and drought stress conditions with genes underlying a major validated DT-QTL in pearl millet. Results suggest that PMiGAP is a useful panel for association mapping. Expression patterns of genes also shed light on some physiological mechanisms underlying pearl millet drought tolerance.


Subject(s)
Gene Expression Regulation, Plant , Genome, Plant , Pennisetum/genetics , Plant Proteins/genetics , Quantitative Trait Loci , Acetyl-CoA Carboxylase/genetics , Acetyl-CoA Carboxylase/metabolism , Adaptation, Biological/genetics , Africa , Asia , Chlorophyll Binding Proteins/genetics , Chlorophyll Binding Proteins/metabolism , Chromosome Mapping , Droughts , Genetic Linkage , Genetic Markers , Genetic Variation , Genotype , Phenotype , Plant Breeding , Plant Proteins/metabolism , Polymorphism, Single Nucleotide , Seed Bank
5.
PLoS One ; 8(5): e62795, 2013.
Article in English | MEDLINE | ID: mdl-23667521

ABSTRACT

BACKGROUND: Rice (Oryza sativa L.) is a highly drought sensitive crop, and most semi dwarf rice varieties suffer severe yield losses from reproductive stage drought stress. The genetic complexity of drought tolerance has deterred the identification of agronomically relevant quantitative trait loci (QTL) that can be deployed to improve rice yield under drought in rice. Convergent evidence from physiological characterization, genetic mapping, and multi-location field evaluation was used to address this challenge. METHODOLOGY/PRINCIPAL FINDINGS: Two pairs of backcross inbred lines (BILs) from a cross between drought-tolerant donor Aday Sel and high-yielding but drought-susceptible rice variety IR64 were produced. From six BC4F3 mapping populations produced by crossing the +QTL BILs with the -QTL BILs and IR64, four major-effect QTL--one each on chromosomes 2, 4, 9, and 10--were identified. Meta-analysis of transcriptome data from the +QTL/-QTL BILs identified differentially expressed genes (DEGs) significantly associated with QTL on chromosomes 2, 4, 9, and 10. Physiological characterization of BILs showed increased water uptake ability under drought. The enrichment of DEGs associated with root traits points to differential regulation of root development and function as contributing to drought tolerance in these BILs. BC4F3-derived lines with the QTL conferred yield advantages of 528 to 1875 kg ha⁻¹ over IR64 under reproductive-stage drought stress in the targeted ecosystems of South Asia. CONCLUSIONS/SIGNIFICANCE: Given the importance of rice in daily food consumption and the popularity of IR64, the BC4F3 lines with multiple QTL could provide higher livelihood security to farmers in drought-prone environments. Candidate genes were shortlisted for further characterization to confirm their role in drought tolerance. Differential yield advantages of different combinations of the four QTL reported here indicate that future research should include optimizing QTL combinations in different genetic backgrounds to maximize yield advantage under drought.


Subject(s)
Adaptation, Biological/genetics , Agriculture/methods , Droughts , Oryza/growth & development , Oryza/genetics , Quantitative Trait Loci/genetics , Transcriptome/genetics , Crosses, Genetic , Species Specificity
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