Improving adaptation to drought stress in white pea bean (<i>Phaseolus vulgaris</i> L.): Genotypic effects on grain yield, yield components and pod harvest index

Assefa, Teshale; Rao, Idupulapati M.; Cannon, Steven B.; Wu, Jixiang; Gutema, Zenbaba; Blair, Matthew W.; Otyama, Paul I.; Alemayehu, Fitsume; Dagne, Belete

doi:10.1111/pbr.12496

Cited by 22 publications

(31 citation statements)

References 34 publications

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“…The most important of these yield components regardless of the market class was the number of pods per plant, suggesting that it can be used by plant breeders as an additional and indirect selection method for seed yield. Similar results were found by [32,36,44]. This study reflected the general assumption that yield increases with growth habit such that Type IVs (climbers) are the best yielding.…”

Section: Correlations Between Seed Yield and Yield Components Of Intesupporting

confidence: 87%

“…[33,34,35,36] observed that water stress during flowering, pod filling stages severely affects the harvest index and the seed yield. Seed yield losses might exceed 20% if the stress occurs during the early vegetative growth and could reach up to 50% in the early pod filling [32,37,38]. As most of test bean lines were of indeterminate growth habit, effects of water stress in low altitude Mwea site were more pronounced compared to dwarf cultivars as also reported in Malawi by [39].…”

Section: Agronomic Performance Of Inter-racial Bean Lines Across Sitementioning

confidence: 76%

“…From this analysis, genotypes located near the biplot origin were considered as widely adapted, while genotypes located far were specifically adapted. All the genotypes with positive IPCA1 scores responded positively to the environment having positive IPCA1 scores, and were, therefore, adapted to that particular environment [31,32].…”

Section: Data Collection and Analysismentioning

confidence: 99%

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Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Mondo¹,

Kimani²,

Narla³

2019

WJAR

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Determination of yield stability is critical in identifying new common bean cultivars with either specific or broad adaptation in target environments. This study aimed to assess genotype by environment (G x E) effects on agronomic performance of 78 F 1.7 lines selected with molecular markers for multiple disease resistance from 16 inter-racial bean populations. Field trials were conducted in low-, medium-and high altitude conditions in Kenya. Data collected on seed yield were subjected to additive main-effects and multiplicative interaction (AMMI) model to separate additive variance from the G x E interaction and to determine the stability of genotypes across locations. Results showed that G x E effects were highly significant (P<0.001), implying that tested lines behaved differently across the three locations. Better yields were recorded from high altitude Tigoni site while the lowest were from low altitude Mwea site. Yield across sites ranged from 1,518 to 2,748; 1,324 to 3,860; 1,537 to 3,722 and 1,010 to 3,718 kg ha-1 for pinto, red mottled, red kidney and mixed color bean lines, respectively. Number of pods plant-1 was the most strongly correlated to seed yield and could be, therefore, used as an indirect selection criterion for seed yield. The environment was responsible for the largest part of yield variability (86.4%, 84.8%, 82.3% and 49.5% for pinto, red kidney, red mottled and mixed color bean lines, respectively). KMA13-22-21 and KMA13-29-21 were the most stable high yielding lines across locations. Higher yielding lines were the most unstable across sites. Two pinto, four red kidney, 15 red mottled, and two mixed color lines did better than their corresponding checks with yield advantages of 7.6, 14.3, 71.5, and 34.9%, respectively. These lines should, therefore, be selected for further testing and release.

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Section: Correlations Between Seed Yield and Yield Components Of Intesupporting

confidence: 87%

Section: Agronomic Performance Of Inter-racial Bean Lines Across Sitementioning

confidence: 76%

Section: Data Collection and Analysismentioning

confidence: 99%

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Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Mondo¹,

Kimani²,

Narla³

2019

WJAR

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“…Approximately 9.8 million metric tons of common beans is lost annually due to drought in Africa [8] and when severe drought occurs early in crop development stages, the yield loss can be up to 80% [9,10]. Keeping in mind that over 80% of small-holder bean producers in developing countries use unimproved bean cultivars that are notoriously low yielders [11,12], there is need to select and ISSN: 2456-7132 Available online at Journals.aijr.in…”

Section: Introductionmentioning

confidence: 99%

Mapping of Quantitative Trait Loci (QTL) Related to Drought Tolerance in Common Bean (Phaseolus vulgaris L.) Using F2 Population from (KATB1 Î§ GLP2)

et al. 2019

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Many of the common bean growing regions around the world are prone to drought stress, making drought the major challenge to production and yield stability in rainfed environments. Mapping of yield-associated loci under drought stress will offer a better understanding of the genetics of drought tolerance to the plant breeders and therefore, will accelerate the selection of drought-tolerant crop varieties through marker-assisted selection (MAS). The current study reports the identification of quantitative trait loci (QTL) linked to physiological, phenological, yield and yield-related traits using 120 F2 population derived from a cross between two common bean genotypes, KAT B1 (drought tolerant) and GLP2 (drought susceptible) evaluated under drought stress and well-watered conditions. The research was conducted at the Agricultural and Mechanization Institute, Machakos, Kenya. The F2 population showed significant variation in traits under drought stress. From the 374 polymorphic SNP markers surveyed, 20 genomic regions were identified for various traits under drought stress, individually explaining 2.6 to 21.3% of phenotypic variation. The number of QTLs identified per trait were: 2-grain/seed yield (GY); 1-number of branches (NBP); 2-stem biomass (SB); 1-leaf biomass (LB); 1-pod biomass (PB); 3-days to flowering; 2-days to maturity (DM); 4- number of pods per plant (NPP); 1-seed weight (SW); 2-stomatal conductance (SMTL) and 1-leaf water potential (LWP). QTLs for number of pods per plant, number of grains/seeds per pod, days to flowering, leaf biomass and stem biomass were found co-locating with QTLs for grain yield on chromosome Pv02 under drought stress treatment. The cumulative effects of these QTLs on chromosomes 2 resulted in higher grain/seed yield. This study has provided information on QTLs in common bean that could be used in selection purposes for grain yield under drought conditions.

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“…Several research reports support the observation that erratic rainfall may lead to IPCA 1 and IPCA 2 = interaction principal component one and two, respectively; ASV = AMMI stability value; E = environment; g = genotype; SR = small red; * = check variety; M = Mesoamerican gene pool; LSD = least significant difference at 5% P-value threshold serious bean yield losses, if the stress occurs during the early vegetative growth (White and Singh, 1991;Mwale et al, 2009), as it was the case in Mwea where heavy rains flooded young seedlings. These losses could reach 50%, if water stress is recorded in early pod filling (White and Singh, 1991;Blair et al, 2012;Assefa et al, 2017;Rao et al, 2017). This made us believe that the double water stress experienced by the bean crop in low altitude Mwea site explains the poor yield performance observed, regardless of the genetic background of test lines.…”

Section: Discussionmentioning

confidence: 99%

Yield stability in small red inter-racial common bean lines in Kenya

Mondo¹,

Kimani²,

Narla³

2019

Afr. Crop Sci. J.

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Agronomic performance of new common bean (Phaseolus vulgaris L.) varieties may vary considerably in diverse agro-ecological zones, due to genotype-environment (G x E) interactions. A multi-site evaluation is, therefore, crucial in elite lines selection as it considers simultaneously both yield and stability of performance, making selection of genotypes more precise and refined. This study aimed at assessing the agronomic performance and yield stability of 24 F 1.7 small red bean lines, selected for multiple disease resistance, using molecular markers from 16 inter-racial bean populations. The study lines were evaluated in low, medium and high altitude agro-ecological conditions in Kenya. G x E effects for grain yield were highly significant (P<0.001), implying that the agronomic potential of the small red bean lines varied with agro-ecological zones. Tigoni, the high altitude (2130 m above sea level) test site had the highest grain yield (3,809 kg ha-1). There were no significant differences between medium altitude (1820 masl) Kabete (1,100 kg ha-1) and low altitude (1150 masl) Mwea (1,025 kg ha-1) sites. Number of pods per plant was strongly positively correlated with seed yield (r=0.85***), and could be adopted by breeders as an indirect selection method for grain yield. The G x E interaction on grain yield was high (14.4%), implying that most of genotypes should be selected and recommended to specific environments. The high yielding line, KMA13-25-09 (3,385 kg ha-1), was the least stable across sites. Disease severity score for target diseases was low to intermediate regardless of the genotypes and sites.

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Improving adaptation to drought stress in white pea bean (Phaseolus vulgaris L.): Genotypic effects on grain yield, yield components and pod harvest index

Cited by 22 publications

References 34 publications

Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Genotype x Environment Interactions on Seed Yield of Inter-racial Common Bean Lines in Kenya

Mapping of Quantitative Trait Loci (QTL) Related to Drought Tolerance in Common Bean (Phaseolus vulgaris L.) Using F2 Population from (KATB1 Î§ GLP2)

Yield stability in small red inter-racial common bean lines in Kenya

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