Genetic analysis of yield traits in rice under irrigated and water stress environments

Suresh, R.; Babu, R. Chandra; Gomez, S. Michael; Shanmugasundaram, P.

doi:10.5958/j.0975-6906.73.2.023

Cited by 4 publications

(7 citation statements)

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“…The conditions in this experiment were favorable for detecting genotype × environment interactions, since different temperatures in three locations represented extreme environmental conditions under which high seed yield safflower genotypes could be commercially grown (Suresh et al 2013). Thus, for population improvement of F 2 hybrid combinations, evaluation of capitula per plant and seed mass should be sufficient in one location.…”

Section: Combining Ability Across All Locationsmentioning

confidence: 99%

“…The estimates on gca effects and the mean performance of the parents would help the breeder to understand the genetic architecture and the potentiality of the selected parents in F 2 and later generations (Suresh et al, 2013). The GCA effects for different traits across three environments are presented in Table 3.…”

Section: Parental Gca and Sca Of The Crossesmentioning

confidence: 99%

“…Estimates of SCA effects of the 28 crosses for CP, SC and SW across the combined data are given in Table 4.The scope exploitation of hybrids for further breeding cycles in any crop largely depends on 1) mean performance of the hybrids over a range of environments, and 2) the specific combining ability effects of the parents (Suresh et al, 2013). So, the hybrids identified based on SCA effects could be exploited in heterosis breeding (Zhang et al, 2015).…”

Section: Specific Combining Ability Of the Crossesmentioning

confidence: 99%

“…Biplot method for analysis of diallel data reports the inter-relationships and combining ability of parents based on graphical presentation, using PC 1 and PC 2 , which are derived through principle component (PC) analysis of environment-centered yield data (Yan and Hunt 2002). In this relation, the knowledge of genetic control and combining abilities can be useful for improvement of seed yield, allocation of new genetic resources and construction of selection indices in safflower (Milic et al 2011;Suresh et al 2013). Reports on the combining ability and the inheritance of some agronomic traits in safflower are available (Mandal and Banerjee 1997;Gupta and Singh 1988;Golkar et al, 2012), but literature review has shown that there is no information regarding the effects of different environments on the magnitude of general and specific combining ability and their interaction with environments for important agronomic traits in safflower, especially in the Middle east region.…”

Section: Introductionmentioning

confidence: 99%

“…Reports on the combining ability and the inheritance of some agronomic traits in safflower are available (Mandal and Banerjee 1997;Gupta and Singh 1988;Golkar et al, 2012), but literature review has shown that there is no information regarding the effects of different environments on the magnitude of general and specific combining ability and their interaction with environments for important agronomic traits in safflower, especially in the Middle east region. The genotype × environment interaction is a major source of bias that affects general and specific combining ability testing (Suresh et al 2013). Improvement of new hybrids adapted to world climate modification is an important breeding stage to sustain safflower production in Iran.…”

Section: Introductionmentioning

confidence: 99%

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Combining ability × environment interaction and genetic analysis for agronomic traits in safflower (Carthamus tinctorius L.): biplot as a tool for diallel data

Golkar

Shahbazi

Nouraein

2017

AAS

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Combining ability × environment interaction is considerable to identify the effect of environment on the combining ability and gene action of the traits to select appropriate parents for safflower hybrid production. The 36 genotype (28 F 2 progenies of eight-parent half-diallel crosses across 8 parental genotypes) of safflower were studied to investigate the mentioned parameters across different geographical regions of Iran. The results indicated significant differences among parents for general and specific combining ability, except for seeds per capitulum across three environments. The overall results indicated that K 21 and Mex.22-191 were excellent parents with greater general combining ability for the improvement of seed yield in safflower. The K 21 × Mex.22-191 hybrid could be, therefore, employed for the production of high seed yield in safflower breeding. The estimates of genetic variance components recommended the importance of additive-dominance genetic effects that contributed to variation in yield per plant. Such gene action expression for seed yield needs auxiliary methods based on hybridization and selection for seed yield advancement in safflower.

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Section: Combining Ability Across All Locationsmentioning

confidence: 99%

Section: Parental Gca and Sca Of The Crossesmentioning

confidence: 99%

Section: Specific Combining Ability Of the Crossesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combining ability × environment interaction and genetic analysis for agronomic traits in safflower (Carthamus tinctorius L.): biplot as a tool for diallel data

Golkar

Shahbazi

Nouraein

2017

AAS

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Genetic analysis of yield and its attributes in bread wheat (Triticum aestivum L. em. Thell) under irrigated and rainfed conditions

et al. 2022

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Experiments were conducted to study the genetics and combining ability for yield and its attributes under Irrigated (E1) and Rainfed (E2) conditions using F1 hybrids derived from Line X Tester mating design by crossing eleven lines with three testers. Signi cant differences were observed among all the genotypes for all the traits in both E1 and E2 environments as well as in pooled analysis. The σ 2 gca/σ 2 sca ratio indicated predominance of non-additive gene action for all the characters in both environments. Therefore, this component of variance can be utilize in breeding programme through exploitation of heterosis and the selection process for identi cation of superior plant type should be postponed to further generations like F4 or F5. VL3001 and KACHU*2//WHEAR/SOKOLL was identi ed as good general combiner in irrigated condition (E1) and in rainfed condition (E2), respectively for maximum number of traits. Parent VL3001 was also identi ed as good general combiner for maximum number of traits in case of pooled analysis. Cross BECARD/KACHU × WH1080, BOW

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Breeding Novel Rice Hybrids for Aerobic Ecology: A Way Out from Global Warming and Water Crisis

Srijan,

Senguttuvel,

Dangi

et al. 2023

Agronomy

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The development of novel rice hybrids is a prospectus area of research for enhancing grain yield to meet the growing population demands. An experiment was conducted in 2016–2017 to develop novel rice hybrids for aerobic ecology with lesser yield penalties than irrigated ecosystems, with the added advantage of reduced methane emissions and water budget as witnessed in irrigated systems. Based on the restorer-maintainer reaction and spikelet fertility (%), ten restorer lines were selected to cross with three CMS (Cytoplasmic male sterile) lines in the Line by Tester fashion in Yasangi (summer) season 2016–2017. They resulted in 30 experimental hybrids besides 13 parental lines (10 restorer lines and 3 B—lines of akin CMS lines) and checks (GK 5022, CR Dhan 201) assessed during the Vankalam (rainy) season 2017 at three different places/locations viz., Rajendranagar, Warangal, and Kampasagar. The outcome of the experiment was that two experimental hybrids viz., APMS-6A × HRSV-7 and IR-79156A × ATR-372, were categorized as stable hybrids with desirable sca (Specific combining ability) effects, heterosis (ranging from 7% to 13%) over best check GK 5022, along with an in-essence performance for yield and other yield attributing characters.

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Genetic analysis of yield traits in rice under irrigated and water stress environments

Cited by 4 publications

References 0 publications

Combining ability × environment interaction and genetic analysis for agronomic traits in safflower (Carthamus tinctorius L.): biplot as a tool for diallel data

Combining ability × environment interaction and genetic analysis for agronomic traits in safflower (Carthamus tinctorius L.): biplot as a tool for diallel data

Genetic analysis of yield and its attributes in bread wheat (Triticum aestivum L. em. Thell) under irrigated and rainfed conditions

Breeding Novel Rice Hybrids for Aerobic Ecology: A Way Out from Global Warming and Water Crisis

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