Rice Adaptation to Climate Change: Opportunities and Priorities in Molecular Breeding

Singh, Vikram Jeet; Vinod, K. K.; Krishnan, S. Gopala; Singh, Ashok Kumar

doi:10.1002/9781119633174.ch1

Cited by 7 publications

(3 citation statements)

References 80 publications

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“…Rice cultivation spans across more than 114 countries on six continents, with India alone contributing over twenty percent of the world's rice production (Singh et al 2021;Singh et al 2022;Kumar et al 2019). Meeting the rising food demand necessitates a projected 40% increase in rice production by 2025 (Fahad et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Genetic mapping for flag leaf shape in new plant type based recombinant inbred lines in rice (Oryza sativa L.)

Nandakumar,

Singh,

Sonu

et al. 2024

IJGPB

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The flag leaf, a pivotal element in rice plants’ photosynthesis process, holds great significance in rice breeding initiatives aimed at optimizing plant traits. The dimensions of the flag leaf play a critical role in photosynthesis, thereby exerting a considerable influence on the potential yield of rice. In this study, we utilized an NPT-based mapping population comprising PR126 (a green super rice cultivar) and Pusa NPT34 (a new plant type line) recombinant inbred line (RIL) population consisting of 175 lines, evaluated across three distinct locations. A total of seventeen QTLs were detected for flag leaf length (seven), width (five), and area (four) distributed across chromosomes 2, 3, 4, 5, and 6, observed across different locations. Among these 17 QTLs, 8 were found to colocalize on two genomic regions. Validation of these QTLs was performed using F2:3 families obtained from the cross between Pusa Basmati 1509 and Pusa NPT34. One marker, RM190, successfully validated the QTLs qFLW6.1 and qFLA6.1 at ADT. Remarkably, both validated QTLs are situated within the same marker interval on chromosome 6 and genetic contribution for both QTLs is from ‘Pusa NPT34’. Consequently, further refinement through fine mapping of the marker intervals holds promise for narrowing down the genomic region and pinpointing candidate genes. This will facilitate more precise marker-assisted selection strategies for enhancing flag leaf shape attributes.

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Section: Introductionmentioning

confidence: 99%

Genetic mapping for flag leaf shape in new plant type based recombinant inbred lines in rice (Oryza sativa L.)

Nandakumar,

Singh,

Sonu

et al. 2024

IJGPB

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“…In India, as the major food crop for more than 1.25 billion people, rice is grown in a 43.40-million-hectare (mha) area, with a paddy production of 157.20 million tones (mt) [ 1 ]. Twenty percent of the world’s rice production is contributed by India [ 2 ], which forms a major segment of Asia’s global share, amounting to about 670 million tonnes [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Population Structure of a Worldwide Collection of Tropical Japonica Rice Indicates Limited Geographic Differentiation and Shows Promising Genetic Variability Associated with New Plant Type

Singh

Bhowmick

Vinod

et al. 2022

Genes

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Abating the approaching yield plateau in rice requires taking advantage of potential technologies that requires knowledge on genetic diversity. Hybrid breeding, particularly in indica rice, requires the recruitment of large genetic variability from outside because the available genetic diversity of the cultivated pool has already been utilized to a great extent. In this study, we examined an assembly of 200 tropical japonica lines collected worldwide for population genetic structure and variability in yield-associated traits. Tested along with 30 indica and six wild rice lines belonging to India, the tropical japonica lines indicated great phenotypic variability, particularly related to new plant type (NPT) phenology, and formed six clusters. Furthermore, a marker-based characterization using a universal diversity marker panel classified the genotype assembly into four clusters, of which three encompassed tropical japonica lines, while the last cluster included mostly indica lines. The population structure of the panel also revealed a similar pattern, with tropical japonica lines forming three subpopulations. Remarkable variation in the allelic distribution was observed between the subpopulations. Superimposing the geographical sources of the genotypes over the population structure did not reveal any pattern. The genotypes sourced closer to the center of origin of rice showed relatively little diversity compared with the ones obtained from other parts of the world, suggesting migration from a common region of origin. The tropical japonica lines can be a great source of parental diversification for hybrid development after confirming the presence of widely compatible genes.

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“…Marker-assisted backcross breeding (MABB) and genetic engineering are used to generate NILs in crops. MABB has been proved to be one of the best ways to incorporate target traits in cultivars ( Dhawan et al, 2021 ; Singh et al, 2021 ). In recent years, several QTLs and meta-QTLs have been identified in rice which are associated with different levels of tolerance to drought.…”

Section: Introductionmentioning

confidence: 99%

Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping

et al. 2022

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Reproductive stage drought stress (RSDS) is a major challenge in rice production worldwide. Cultivar development with drought tolerance has been slow due to the lack of precise high throughput phenotyping tools to quantify drought stress-induced effects. Most of the available techniques are based on destructive sampling and do not assess the progress of the plant’s response to drought. In this study, we have used state-of-the-art image-based phenotyping in a phenomics platform that offers a controlled environment, non-invasive phenotyping, high accuracy, speed, and continuity. In rice, several quantitative trait loci (QTLs) which govern grain yield under drought determine RSDS tolerance. Among these, qDTY2.1 and qDTY3.1 were used for marker-assisted breeding. A set of 35 near-isogenic lines (NILs), introgressed with these QTLs in the popular variety, Pusa 44 were used to assess the efficiency of image-based phenotyping for RSDS tolerance. NILs offered the most reliable contrast since they differed from Pusa 44 only for the QTLs. Four traits, namely, the projected shoot area (PSA), water use (WU), transpiration rate (TR), and red-green-blue (RGB) and near-infrared (NIR) values were used. Differential temporal responses could be seen under drought, but not under unstressed conditions. NILs showed significant level of RSDS tolerance as compared to Pusa 44. Among the traits, PSA showed strong association with yield (80%) as well as with two drought tolerances indices, stress susceptibility index (SSI) and tolerance index (TOL), establishing its ability in identifying the best drought tolerant NILs. The results revealed that the introgression of QTLs helped minimize the mean WU per unit of biomass per day, suggesting the potential role of these QTLs in improving WU-efficiency (WUE). We identified 11 NILs based on phenomics traits as well as performance under imposed drought in the field. The study emphasizes the use of phenomics traits as selection criteria for RSDS tolerance at an early stage, and is the first report of using phenomics parameters in RSDS selection in rice.

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Rice Adaptation to Climate Change: Opportunities and Priorities in Molecular Breeding

Cited by 7 publications

References 80 publications

Genetic mapping for flag leaf shape in new plant type based recombinant inbred lines in rice (Oryza sativa L.)

Genetic mapping for flag leaf shape in new plant type based recombinant inbred lines in rice (Oryza sativa L.)

Population Structure of a Worldwide Collection of Tropical Japonica Rice Indicates Limited Geographic Differentiation and Shows Promising Genetic Variability Associated with New Plant Type

Drought Tolerant Near Isogenic Lines of Pusa 44 Pyramided With qDTY2.1 and qDTY3.1, Show Accelerated Recovery Response in a High Throughput Phenomics Based Phenotyping

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