2Gs and plant architecture: breaking grain yield ceiling through breeding approaches for next wave of revolution in rice (
            <i>Oryza sativa</i>
            L.)

Singh, Gurjeet; Kaur, Navdeep; Khanna, Renu; Kaur, Rupinder; Gudi, Santosh; Sidhu, Navjot; Vikal, Yogesh; Mangat, Gurjit Singh

doi:10.1080/07388551.2022.2112648

Cited by 19 publications

(10 citation statements)

References 223 publications

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“…Whereas, the subgenus Soja includes two cross-compatible, annul species i.e., cultivated soybean (G. max) and its wild progenitor (G. soja Sieb.) (Singh and Hymowitz, 1987). Furthermore, all the germplasms of the genus Glycine have been classified into GP-1 and GP-3, with no identified species belonging to GP-2.…”

Section: Gene Pools Of Legume Cropsmentioning

confidence: 99%

“…However, a methodology for producing fertile crosses has been devised to introgress useful genes from G. tomentella Hayata;2n = 78) to GP-1 (G. max) (Singh and Hymowitz, 1987).…”

Section: Gene Pools Of Legume Cropsmentioning

confidence: 99%

“…Integrating genomics and phenomics tools with modern breeding approaches ( Singh et al., 2022a ) will increase genetic variability, selection efficiency, and heritability. Genomic-assisted breeding tools facilitate multiple genes stacking and accelerate alien gene introgression.…”

Section: Integrated Approaches For Achieving Higher Genetic Gain In L...mentioning

confidence: 99%

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Unlocking the hidden variation from wild repository for accelerating genetic gain in legumes

et al. 2022

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The fluctuating climates, rising human population, and deteriorating arable lands necessitate sustainable crops to fulfil global food requirements. In the countryside, legumes with intriguing but enigmatic nitrogen-fixing abilities and thriving in harsh climatic conditions promise future food security. However, breaking the yield plateau and achieving higher genetic gain are the unsolved problems of legume improvement. Present study gives emphasis on 15 important legume crops, i.e., chickpea, pigeonpea, soybean, groundnut, lentil, common bean, faba bean, cowpea, lupin, pea, green gram, back gram, horse gram, moth bean, rice bean, and some forage legumes. We have given an overview of the world and India’s area, production, and productivity trends for all legume crops from 1961 to 2020. Our review article investigates the importance of gene pools and wild relatives in broadening the genetic base of legumes through pre-breeding and alien gene introgression. We have also discussed the importance of integrating genomics, phenomics, speed breeding, genetic engineering and genome editing tools in legume improvement programmes. Overall, legume breeding may undergo a paradigm shift once genomics and conventional breeding are integrated in the near future.

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Section: Gene Pools Of Legume Cropsmentioning

confidence: 99%

“…However, a methodology for producing fertile crosses has been devised to introgress useful genes from G. tomentella Hayata;2n = 78) to GP-1 (G. max) (Singh and Hymowitz, 1987).…”

Section: Gene Pools Of Legume Cropsmentioning

confidence: 99%

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Unlocking the hidden variation from wild repository for accelerating genetic gain in legumes

et al. 2022

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“…Furthermore, pigeonpea production faces a number of biotic stresses such as Fusarium wilt and sterility mosaic disease (SMD), which ultimately affect the production potential of this crop (Singh, Singh, et al., 2020). Plant breeders are concerned with combining multiple yield‐related traits (Singh, Gudi, et al., 2022; Singh, Kaur, et al., 2022). A paradigm shift may occur in the near future if the conventional breeding (pre‐breeding, and alien gene introgression) approaches are integrated with modern breeding tools (such as genomics, phenomics, speed breeding, genetic engineering, haplotype‐based breeding, allele mining, and genome editing) (Bakala et al., 2020; Gudi, Kumar, et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Meta‐analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.)

et al. 2023

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A meta‐analysis of quantitative trait loci (QTLs), associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits was conducted for the first time in pigeonpea (Cajanus cajan L.). Data on 498 QTLs was collected from 9 linkage mapping studies (involving 21 biparental populations). Of these 498, 203 QTLs were projected onto “PigeonPea_ConsensusMap_2022,” saturated with 10,522 markers, which resulted in the prediction of 34 meta‐QTLs (MQTLs). The average confidence interval (CI) of these MQTLs (2.54 cM) was 3.37 times lower than the CI of the initial QTLs (8.56 cM). Of the 34 MQTLs, 12 high‐confidence MQTLs with CI (≤5 cM) and a greater number of initial QTLs (≥5) were utilized to extract 2255 gene models, of which 105 were believed to be associated with different traits under study. Furthermore, eight of these MQTLs were observed to overlap with several marker‐trait associations or significant SNPs identified in previous genome‐wide association studies. Furthermore, synteny and ortho‐MQTL analyses among pigeonpea and four related legumes crops, such as chickpea, pea, cowpea, and French bean, led to the identification of 117 orthologous genes from 20 MQTL regions. Markers associated with MQTLs can be employed for MQTL‐assisted breeding as well as to improve the prediction accuracy of genomic selection in pigeonpea. Additionally, MQTLs may be subjected to fine mapping, and some of the promising candidate genes may serve as potential targets for positional cloning and functional analysis to elucidate the molecular mechanisms underlying the target traits.

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“…The morphological and physiological traits of a strongly competitive crop will enable it to capture resources and utilize resources more efficiently. Rice breeders continue to combine the important yield component traits (including 2Gs for the yield ceiling) by utilizing modern breeding tools in rice Singh et al [12] Correct choice of cultivar may also be essential to get higher yields. Hence, it is need of the hour to assess the performances of different high yielding varieties of rice under these alternate crop establishment strategies.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Rice Varieties under Different Systems of Cultivation for Central Telangana Zone

Patil

Kumar²,

Nagabhushanam³

et al. 2022

IJECC

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A field study was conducted during kharif, 2021 at Regional Agricultural Research Station, Warangal to evaluate the performance of rice varieties under different systems of cultivation for central Telangana zone. The treatment consisted of three systems of cultivation i.e., transplanted rice system with 15x10 cm spacing, wet direct seeded rice (Drum seeding) with 30x6-8 cm spacing and dry direct seeded rice at 30 cm row spacing in main plots and four varieties i.e., RNR 15048 (Telangana sona), WGL 44 (Siddi), WGL 915 (Warangal Rice-1) and KNM 118 (Kunaran sannalu) in sub plots. Experimental data revealed that transplanted rice recorded significantly superior growth components and yield attributing characters i.e., number of tillers m-², number of effective tillers m-², dry matter production, grain yield, straw yield and harvest index (%) compared to other systems of cultivation. Significant higher grain and straw yield was recorded with transplanted rice system followed by wet DSR and least in dry DSR. Under varieties KNM 118 registered higher dry matter production, grain yield, straw yield and harvest index (%) as compared to remaining varieties.

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2Gs and plant architecture: breaking grain yield ceiling through breeding approaches for next wave of revolution in rice ( Oryza sativa L.)

Cited by 19 publications

References 223 publications

Unlocking the hidden variation from wild repository for accelerating genetic gain in legumes

Unlocking the hidden variation from wild repository for accelerating genetic gain in legumes

Meta‐analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.)

Evaluation of Rice Varieties under Different Systems of Cultivation for Central Telangana Zone

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