Genetic diversity reveals synergistic interaction between yield components could improve the sink size and yield in rice

Anwar, Khalid; Joshi, Rohit; Morales, Alejandro González; Das, Gourab; Yin, Xinyou; Anten, Niels P. R.; Raghuvanshi, Saurabh; Bahuguna, Rajeev Nayan; Singh, Madan Pal; Singh, Rakesh Kumar; Zanten, Martijn van; Sasidharan, Rashmi; Singla‐Pareek, Sneh L.; Pareek, Ashwani

doi:10.1002/fes3.334

Cited by 9 publications

(8 citation statements)

References 73 publications

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“…Understanding the relationship of the various yield components with grain yield can be explored for use as an indirect selection criterion to improve genotype yield in breeding programs [ 31 ]. In this study, it was verified that the phenotypic and genotypic correlations are similar, indicating that there is an intrinsic association between several characters.…”

Section: Resultsmentioning

confidence: 99%

Yield of soybean genotypes identified through GGE biplot and path analysis

et al. 2022

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Genotype × environment (G×E) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multi-environment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy. Eight soybean genotypes from the breeding program of Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) were evaluated in field trials using a randomized block experimental design, in an 8 x 8 factorial scheme with four replications in eight different environments of the Cerrado of Northeastern Brazil during two crop seasons. Phenotypic performance data were measured for the number of days to flowering (NDF), height of first pod insertion (HPI), final plant height (FPH), number of days to maturity (NDM), mass of 100 grains (M100) and grain yield (GY). The results revealed that the variance due to genotype, environment, and G×E interaction was highly significant (P < 0.001) for all traits. The ST820RR, BRS 333RR, BRS SambaíbaRR, M9144RR and M9056RR genotypes exhibited the greatest GY stability in the environments studied. However, only the BRS 333RR genotype, followed by the M9144RR, was able to combine good productive performance with high yield stability. The study also revealed that the HPI and the NDM are traits that should be prioritized in the selection of soybean genotypes due to the direct and indirect effects on the GY.

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Section: Resultsmentioning

confidence: 99%

Yield of soybean genotypes identified through GGE biplot and path analysis

et al. 2022

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“…H + D) (Yadav et al, 2022). Moreover, Mittler (2006) and Anwar et al, (2022) have emphasized that a differential pattern at the transcriptome, metabolome and proteome levels indicates a characteristic pattern under stress combinations that involves a distinct set of genes, proteins and metabolites. Nevertheless, the mechanistic basis of genetic response to stress combination is not yet well understood.…”

Section: Discussionmentioning

confidence: 99%

“…A diverse panel of 394 rice ( Oryza sativa ) accessions (Anwar et al, 2022) was used for this study, consisting of 75 indica, 53 aus, 16 aromatic, 100 temperate japonica, 86 tropical japonica, and 64 admixed genotypes (Table S1). This panel was originally assembled at the International Rice Research Institute, Philippines (https://www.irri.org/international-rice-genebank).…”

Section: Methodsmentioning

confidence: 99%

Impact of individual, combined and sequential stress on photosynthesis machinery in rice (Oryza sativa L)

Anwar,

Joshi,

Bahuguna

et al. 2024

Physiologia Plantarum

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Abiotic stresses such as heat, drought and submergence are major threats to global food security. Despite simultaneous or sequential occurrence of these stresses being recurrent under field conditions, crop response to such stress combinations is poorly understood. Rice is a staple food crop for the majority of human beings. Exploitation of existing genetic diversity in rice for combined and/or sequential stress is a useful approach for developing climate‐resilient cultivars. We phenotyped ~400 rice accessions under high temperature, drought, or submergence and their combinations. A cumulative performance index revealed Lomello as the best performer across stress and stress combinations at the seedling stage. Lomello showed a remarkable ability to maintain a higher quantum yield of photosystem (PS) II photochemistry. Moreover, the structural integrity of the photosystems, electron flow through both PSI and PSII and the ability to protect photosystems against photoinhibition were identified as the key traits of Lomello across the stress environments. A higher membrane stability and an increased amount of leaf chlorophyll under stress may be due to an efficient management of reactive oxygen species (ROS) at the cellular level. Further, an efficient electron flow through the photosystems and, thus, a higher photosynthetic rate in Lomello is expected to act as a sink for ROS by reducing the rate of electron transport to the high amount of molecular oxygen present in the chloroplast. However, further studies are needed to identify the molecular mechanism(s) involved in the stability of photosynthetic machinery and stress management in Lomello during stress conditions.

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“…Chl a fluorescence of WT and DTH8 overexpressing lines was measured during control, drought recovery, and salinity stress treatments using Handy‐PEA fluorimeter (Hansatech Instruments Ltd) after 10 min of dark adaption of leaves as described earlier (Wungrampha et al, 2019). All the parameters of Handy‐Pea were double normalized at F o and F m and the OJIP test was performed for the analysis of photosynthetic parameters (Anwar et al, 2022; Kalaji et al, 2017). Further, the calculation of energy trapping, also considered as the quantum yield of PSII (φ P ), electron transport after the reduction of Q A to Q A − (φ E ), reduction of end electron acceptor molecules (φ R ), performance index based on absorption (PI ABS ) and performance index of overall photochemistry (PI total ) was done as mentioned in Strasser et al (2010).…”

Section: Methodsmentioning

confidence: 99%

“…Rice is a widely consumed staple food crop around the globe, and its productivity is governed not only by the grain weight, spikelet per panicle (panicle branching), and effective number of tillers (Anwar et al, 2022; Li et al, 2021), but also by flowering period (also referred as heading date) (Wei et al, 2010). The flowering period, which defines vegetative to reproductive stage transition, determines the adaptation of crops in different geographical areas and their growing season (Cai et al, 2019; Fjellheim et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

DTH8 overexpression induces early flowering, boosts yield, and improves stress recovery in rice cv IR64

Mishra

Rathore

Joshi

et al. 2022

Physiologia Plantarum

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Rice yield and heading date are the two discrete traits controlled by quantitative trait loci (QTLs). Both traits are influenced by the genetic make‐up of the plant as well as the environmental factors where it thrives. Drought and salinity adversely affect crop productivity in many parts of the world. Tolerance to these stresses is multigenic and complex in nature. In this study, we have characterized a QTL, DTH8 (days to heading) from Oryza sativa L. cv IR64 that encodes a putative HAP3/NF‐YB/CBF subunit of CCAAT‐box binding protein (HAP complex). We demonstrate DTH8 to be positively influencing the yield, heading date, and stress tolerance in IR64. DTH8 up‐regulates the transcription of RFT1, Hd3a, GHD7, MOC1, and RCN1 in IR64 at the pre‐flowering stage and plays a role in early flowering, increased number of tillers, enhanced panicle branching, and improved tolerance towards drought and salinity stress at the reproductive stage. The presence of DTH8 binding elements (CCAAT) in the promoter regions of all of these genes, predicted by in silico analysis of the promoter region, indicates the regulation of their expression by DTH8. In addition, DTH8 overexpressing transgenic lines showed favorable physiological parameters causing less yield penalty under stress than the WT plants. Taken together, DTH8 is a positive regulator of the network of genes related to early flowering/heading, higher yield, as well as salinity and drought stress tolerance, thus, enabling the crops to adapt to a wide range of climatic conditions.

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Genetic diversity reveals synergistic interaction between yield components could improve the sink size and yield in rice

Cited by 9 publications

References 73 publications

Yield of soybean genotypes identified through GGE biplot and path analysis

Yield of soybean genotypes identified through GGE biplot and path analysis

Impact of individual, combined and sequential stress on photosynthesis machinery in rice (Oryza sativa L)

DTH8 overexpression induces early flowering, boosts yield, and improves stress recovery in rice cv IR64

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