Nature of resistance of cowpea &lt;I&gt;Alectra vogelii&lt;/I&gt; infestation

Mbwando, A.; Lungu, D; Tryphone, George Muhamba; Tembo, Langa

doi:10.4314/acsj.v24i4.5

Cited by 8 publications

(8 citation statements)

References 5 publications

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“…The results showed that both additive or/and non-additive genes effects were involved in the expression of all the investigated traits. Mbwando et al (2016) also claimed the existence of additive and nonadditive gene actions in cowpea resistance to Alectra parameters. The proportion of additive gene effects was more important for SEV and HSW with 2σ 2 GCA / (2σ 2 GCA +σ 2 SCA ) values more than unity.…”

Section: Discussionmentioning

confidence: 99%

“…Very few studies have been undertaken to investigate gene actions involved in cowpea resistance to Alectra vogelii. Mbwando et al (2016) studied the genetic factors involved in cowpea resistance to Alectra for two parameters (number of Alectra shoots emerged and number of cowpea plant infested). The outcome of this study showed medium narrow sense heritability for each trait, 41.28% and 44.39% respectively.…”

Section: Discussionmentioning

confidence: 99%

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Diallel analysis of cowpea [Vigna unguiculata (L.) Walp.] for seed size, and resistance to Alectra vogelii Benth.

Zakaria¹,

Batieno²,

Antoine³

et al. 2019

Int. J. Bio. Chem. Sci

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Cowpea production is hampered by several abiotic and biotic constraints. Parasitic weed Alectra vogelii is a formidable biotic constraint in cowpea production. This study was implemented to determine gene actions involved in cowpea seed size and its resistance to Alectra in order to determine the appropriate breeding approach to develop resistant cowpea varieties to Alectra vogelii. For this purpose, a half diallel of 9 parents was developed at Kamboinse in 2016. The F 1 and their parents were screened in screen house with Alectra vogelii seed collected from Alectra infested field in Koupela in centre east Burkina Faso. Data were collected on dates to cowpea flowering, cowpea hundred seeds weight and the severity of Alectra 70 days after planting and analysed with Diall 98 software. Both additive and non-additive gene actions were operative for the investigated characters. Additive gene effects were more important, resulting in high narrow sense heritability, inferring that breeding progress can be achieved through backcross or single seed descent method.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Diallel analysis of cowpea [Vigna unguiculata (L.) Walp.] for seed size, and resistance to Alectra vogelii Benth.

Zakaria¹,

Batieno²,

Antoine³

et al. 2019

Int. J. Bio. Chem. Sci

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“…Though this genotype may not be recommended as being desirable, it may find its usefulness in molecular mapping studies. Such a genotype (G2) can be crossed with a relatively high yielding genotype (such as G27) to create a mapping population to utilise in QTL associated tagging for seed cotton yield [7,15]. AMMI evaluation of environment performance, Masumba was the best performing environment followed by Magoye with average seed co yield of 1249 kg/ha and 731 kg/ha The high performance of this area could be attributed to a roundup favourable environment in the area i.e temperature, rainfall amount, type of…”

Section: M1-first Mega Environment M2-second Mega Environment and M3 Cross Symbol Environmentsmentioning

confidence: 99%

“…Identifying desirable high yielding genotypes is key in improving SCY. Previous authors have suggested the use of molecular marker-assisted selection in selecting for desirable genotypes, as they are independent of the environmental effect [6,7]. However, in this study we tend to explore the phenotypic performance (P) taking into consideration genetic make-up (G), various environments (E) subjected to, and the genotype x environmental interaction (GEI).…”

Section: Introductionmentioning

confidence: 99%

Genotype by Environment Interaction of Cotton Genotypes for Seed Cotton Yield in Zambia

Simasiku¹,

Lungu

Tembo

2020

AJRCS

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Cotton (Gossypium hirsutum L.) is an important cash crop in Zambia. The national seed cotton yield (SCY) per hectare ranges from 200-500 kg/ ha as compared to the potential of up to 2500 kg/ ha. Understanding the specific performance of several genotypes across different environments is an option, which may maximize specific genotypic performance. In addition, the performance of specific environments if known concerning specific and mean genotypic performance may guide the breeding approaches to these environments. This study therefore investigated the presence of SCY mega-production environments in Zambia and delineated the environments and identified the ideal test environment capable of discriminating yield differences among genotypes. Thirty (30) genotypes, were planted following a 6 x 5 lattice design with three replications in seven environments of Zambia. Additive main effects and multiplicative interaction (AMMI) model and genotype plus genotype by environment (GGE) biplot were used to explore the genotype by genotypic environmental interaction (GEI). Three mega environments (M1, M2 and M3) were identified. Genotype G27, G26 and G28 were the best performing genotypes in M1, M2 and M3 with overall mean SCY of 1416, 1320 and 960 kg/ ha respectively. Among the locations, Masumba was identified as an ideal test environment with mean SCY of 1249 kg/ ha. Therefore, testing seed cotton genotypic yield and selecting desirable genotypes in Masumba may be sufficient for evaluation.

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“…It has been suggested that selection and utilisation of heat tolerant genotypes is the most feasible way to reduce yield losses in maize [9]. Selection of desirable genotype, where one or two variables (traits) are involved, has been achieved using visual selection and or by genotypic trait analysis [10,11]. On the other hand, multivariate analysis such as principle component analysis (PCA) have been used where genotypic selection relies on genotypic response of several traits [12].…”

Section: Introductionmentioning

confidence: 99%

Nature of Inheritance to Heat Stress and Selection of Inherent Genotypes in Tropical Maize

Mwanza¹,

Mataa

Tembo

2020

AJRCS

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Maize is an important cereal in sub-Saharan Africa. Its production is however hampered by both biotic and abiotic factors. Among the abiotic factors, heat stress has been reported to cause yield losses. The objective of this study was therefore to identify tolerant genotypes to heat stress and determine the type of gene action conditioning heat tolerance in tropical maize. To achieve these objectives, five maize inbred lines (L2 [P1]; DTS 6,36 [P2]; L5527 [P3]; DTS 6,6 [P4] and DTS 6,92 [P5]) were mated in a 5 x 5 half diallel. Their progeny were evaluated at a heat prone site (Lusitu) and at the University of Zambia (UNZA), a control site. The experiment was laid as a randomised complete block design with two replications in each site. Highly significant differences (P ≤ 0.01) were obtained among genotypes in Lusitu with regards to all measured parameters. The crosses[P2 (DTS 6,36) x P4 (DTS 6,6)] and [P4 (DTS 6,6) x P5 (DTS 6,92)]were identified as tolerant genotypes to heat stress. Further analysis showed that the general combining ability (GCA) effects for parent P4 (DTS 6, 6) and P3 (L5527) were positively and negatively significantly different (P ≤ 0.01) from zero respectively with regards to all measured parameters. On the other hand, crosses [P1 (L2) x P3 (L5527)] & [P4 (DTS 6,6) x P5 (DTS 6,92)]were found to possess desirable significant (P ≤ 0.05) specific combining ability (SCA)effects from zero. The results of baker’s ratio obtained for responseto heat stress for all secondary traits measured were found to be greater than 0.88. This implied that additive gene action was more important in conditioning the response of these traits to heat tolerance.

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Nature of resistance of cowpea <I>Alectra vogelii</I> infestation

Cited by 8 publications

References 5 publications

Diallel analysis of cowpea [<i>Vigna unguiculata</i> (L.) Walp.] for seed size, and resistance to <i>Alectra vogelii</i> Benth.

Diallel analysis of cowpea [<i>Vigna unguiculata</i> (L.) Walp.] for seed size, and resistance to <i>Alectra vogelii</i> Benth.

Genotype by Environment Interaction of Cotton Genotypes for Seed Cotton Yield in Zambia

Nature of Inheritance to Heat Stress and Selection of Inherent Genotypes in Tropical Maize

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