Generation mean analysis of pearl millet [Pennisetum glaucum (L.) R. Br.] grain iron and zinc contents and agronomic traits in West Africa

Gaoh, Bassirou Sani Boubacar; Gangashetty, Prakash; Mohammed, Riyazaddin; Dzidzienyo, Daniel Kwadjo; Tongoona, Pangirayi

doi:10.1016/j.jcs.2020.103066

Cited by 12 publications

(5 citation statements)

References 16 publications

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“…Additive genetic effects along with the additive × additive interaction effects represent fixable genetic variance, and hence the progeny per se selection would presumably be effective for enhancing the grain Fe content in pearl millet. Similar significant additive × additive genetic effects for the grain Fe content have been previously reported in pearl millet (Boubacar et al, 2020), rice (Mallimar et al, 2017), and maize (Chakraborti et al, 2010). We suspect that most of these interaction effects would be cross-specific and would show a slight environmental variation for the same cross, whereas direct gene effects (additive) would be relatively consistent.…”

Section: Discussionsupporting

confidence: 82%

“…Epistasis is defined as any form of non-allelic interaction (Phillips, 1998;Boubacar et al, 2020). In this respect, comprehensive knowledge of gene action and interactions can contribute to determining the selection of breeding methods that efficiently exploits the genetic variance, which in turn can assist in interpreting the role of breeding systems in crop evolution (Hallauer and Miranda, 1981).…”

Section: Discussionmentioning

confidence: 99%

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Generation Mean Analysis Reveals the Predominant Gene Effects for Grain Iron and Zinc Contents in Pearl Millet

et al. 2022

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Pearl millet [Pennisetum glaucum (L.) R. Br.] is a climate-resilient dryland cereal that has been identified as a potential staple food crop that can contribute to alleviating micronutrient malnutrition, particularly with respect to grain iron (Fe) and zinc (Zn) contents, in Sub-Saharan Africa and India. In this regard, an understanding of the inheritance pattern of genes involved in Fe and Zn contents is vital for devising appropriate breeding methods to genetically enhance their levels in grains. In this study, we aimed to determine the genetic effects underlying such inheritance and their interactions based on the generation mean analyses. Four experimental crosses and their six generations (P1, P2, F1, BCP1, BCP2, and F2) were independently evaluated in a compact family block design in 2017 rainy and 2018 summer seasons. ANOVA revealed highly significant mean squares (p < 0.01) among different generations for grain Fe and Zn contents. Six-parameter generation mean analyses revealed a predominance of additive genetic effect and a significant (p < 0.05) additive × dominant interaction for the grain Fe content. The additive genetic effect for the grain Zn content was also highly significant (p < 0.01). However, interaction effects contributed minimally with respect to most of the crosses for the grain Zn content and hence we assume that a simple digenic inheritance pattern holds true for it. Furthermore, we established that narrow-sense heritability was high for the grain Fe content (>61.78%), whereas it was low to moderate for the grain Zn content (30.60–59.04%). The lack of superior parent heterosis coupled with non-significant inbreeding depression for Fe and Zn contents in grains further confirmed the predominance of an additive genetic effect. These findings will contribute to strategizing a comprehensive breeding method to exploit the available variability of grain Fe and Zn contents for the development of biofortified hybrids of pearl millet.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Generation Mean Analysis Reveals the Predominant Gene Effects for Grain Iron and Zinc Contents in Pearl Millet

et al. 2022

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“…The additive effect was detected for all the QTLs for grain Fe and Zn, on which the alleles from donor parent had positive additive effect. Gaoh et al (2020) found the additive × additive gene effects had the most important effects for grain Fe content, while additive × dominance gene effects were significant for grain Zn content in pearl millet. Similarly, Garcia-Oliveira et al (2018) and Kumar et al (2018) reported that epistasis plays a role in regulating grain iron and zinc content in pearl millet and cereals, respectively.…”

Section: Quantitative Trait Loci For Grain Iron (Fe) and Zinc (Zn) Content And Environment Interactionmentioning

confidence: 91%

Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet

Singhal

Satyavathi²,

Singh

et al. 2021

Front. Plant Sci.

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Pearl millet is a climate-resilient, nutritious crop with low input requirements that could provide economic returns in marginal agro-ecologies. In this study, we report quantitative trait loci (QTLs) for iron (Fe) and zinc (Zn) content from three distinct production environments. We generated a genetic linkage map using 210 F6 recombinant inbred line (RIL) population derived from the (PPMI 683 × PPMI 627) cross using genome-wide simple sequence repeats (SSRs). The molecular linkage map (seven linkage groups) of 151 loci was 3,273.1 cM length (Kosambi). The content of grain Fe in the RIL population ranged between 36 and 114 mg/Kg, and that of Zn from 20 to 106 mg/Kg across the 3 years (2014–2016) at over the three locations (Delhi, Dharwad, and Jodhpur). QTL analysis revealed a total of 22 QTLs for grain Fe and Zn, of which 14 were for Fe and eight were for Zn on three consecutive years at all locations. The observed phenotypic variance (R2) explained by different QTLs for grain Fe and Zn content ranged from 2.85 (QGFe.E3.2014–2016_Q3) to 19.66% (QGFe.E1.2014–2016_Q3) and from 2.93 (QGZn.E3.2014–2016_Q3) to 25. 95% (QGZn.E1.2014–2016_Q1), respectively. Two constitutive expressing QTLs for both Fe and Zn co-mapped in this population, one on LG 2 and second one on LG 3. Inside the QTLs candidate genes such as Ferritin gene, Al3+ Transporter, K+ Transporters, Zn2+ transporters and Mg2+ transporters were identified using bioinformatics approaches. The identified QTLs and candidate genes could be useful in pearl millet population improvement programs, seed, restorer parents, and marker-assisted selection programs.

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“…Open-pollinated varieties (OPVs) of pearl millet were tested in various locations in West Africa for their growth performance and Fe and Zn grain content, with the identification of stable, high-Fe varieties [ 45 , 46 , 47 ]. Interestingly, quantitative genetics were applied to six generations of pearl millet obtained from two sets of parental lines grown at ICRISAT, Sadore, Niger, to model the trait inheritance of Fe grain content [ 48 ].…”

Section: Research Hotspot: Fe Deficiency and Crops Biofortificationmentioning

confidence: 99%

“…Publications Publications with African Prominent Authorship rice (various Oryza species) [17][18][19][20][21][22][23][24][25][26] [ 17,18,[21][22][23][24][25][26] maize (Zea mays) [27][28][29][30][31][32][33][34] [ [29][30][31][32][33][34] common bean (Phaseolus vulgaris) [35][36][37][38][39][40] [ [37][38][39][40] soybean (Glycine max) [27,41-44] [44] pearl millet (Pennisetum glaucum) [45][46][47][48] [ [45][46][47]…”

Section: Plant Speciesmentioning

confidence: 99%

Plant Iron Research in African Countries: Current “Hot Spots”, Approaches, and Potentialities

Murgia,

Morandini

2023

Plants

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Plant iron (Fe) nutrition and metabolism is a fascinating and challenging research topic; understanding the role of Fe in the life cycle of plants requires knowledge of Fe chemistry and biochemistry and their impact during development. Plant Fe nutritional status is dependent on several factors, including the surrounding biotic and abiotic environments, and influences crop yield and the nutritional quality of edible parts. The relevance of plant Fe research will further increase globally, particularly for Africa, which is expected to reach 2.5 billion people by 2050. The aim of this review is to provide an updated picture of plant Fe research conducted in African countries to favor its dissemination within the scientific community. Three main research hotspots have emerged, and all of them are related to the production of plants of superior quality, i.e., development of Fe-dense crops, development of varieties resilient to Fe toxicity, and alleviation of Fe deficiency, by means of Fe nanoparticles for sustainable agriculture. An intensification of research collaborations between the African research groups and plant Fe groups worldwide would be beneficial for the progression of the identified research topics.

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Generation mean analysis of pearl millet [Pennisetum glaucum (L.) R. Br.] grain iron and zinc contents and agronomic traits in West Africa

Cited by 12 publications

References 16 publications

Generation Mean Analysis Reveals the Predominant Gene Effects for Grain Iron and Zinc Contents in Pearl Millet

Generation Mean Analysis Reveals the Predominant Gene Effects for Grain Iron and Zinc Contents in Pearl Millet

Multi-Environment Quantitative Trait Loci Mapping for Grain Iron and Zinc Content Using Bi-parental Recombinant Inbred Line Mapping Population in Pearl Millet

Plant Iron Research in African Countries: Current “Hot Spots”, Approaches, and Potentialities

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