Development of sorghum hybrids for stable yield and resistance to grain mold for the Center and South-East of Senegal

Diatta, Cyril; Tovignan, Thierry Klanvi; Adoukonou‐Sagbadja, Hubert; Aidara, Ousmane; Sarr, Mame P.; Ifie, Beatrice Elohor; Offei, Samuel Kwame; Danquah, Eric Yirenkyi; Cissé, Ndiaga

doi:10.1016/j.cropro.2019.02.001

Cited by 13 publications

(11 citation statements)

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“…For GY, the location component explained 51.7% of the total variation, while for grain mold score, the G × L component contributed to a higher proportion of variation. The greater influence of environment on sorghum phenology and grain traits, including grain mold, was reported earlier (Kenga et al, 2006 ; Gasura et al, 2015 ; Diatta et al, 2019 ). The h 2 bs of all the traits was generally observed to be high (≥0.50) but there was a slight difference in the individual location.…”

Section: Discussionsupporting

confidence: 61%

“…In the present study, 33 derivatives from the population breeding program are evaluated in the four testing locations. The differential ranking of genotypes across locations (hereafter referred to as environments) is caused due to a crossover GEI (Mohammadi and Amri, 2013 ), and a significant GEI for yield and grain mold in sorghum has been reported earlier (Rakshit et al, 2012 ; Aruna et al, 2016 ; Diatta et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

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Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

et al. 2021

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The infection caused by grain mold in rainy season grown sorghum deteriorates the physical and chemical quality of the grain, which causes a reduction in grain size, blackening, and making them unfit for human consumption. Therefore, the breeding for grain mold resistance has become a necessity. Pedigree breeding has been widely used across the globe to tackle the problem of grain mold. In the present study, a population breeding approach was employed to develop genotypes resistant to grain mold. The complex genotype × environment interactions (GEIs) make the task of identifying stable grain mold-resistant lines with good grain yield (GY) challenging. In this study, the performance of the 33 population breeding derivatives selected from the four-location evaluation of 150 genotypes in 2017 was in turn evaluated over four locations during the rainy season of 2018. The Genotype plus genotype-by-environment interaction (GGE) biplot analysis was used to analyze a significant GEI observed for GY, grain mold resistance, and all other associated traits. For GY, the location explained a higher proportion of variation (51.7%) while genotype (G) × location (L) contributed to 21.9% and the genotype contributed to 11.2% of the total variation. For grain mold resistance, G × L contributed to a higher proportion of variation (30.7%). A graphical biplot approach helped in identifying promising genotypes for GY and grain mold resistance. Among the test locations, Dharwad was an ideal location for both GY and grain mold resistance. The test locations were partitioned into three clusters for GY and two clusters for grain mold resistance through a “which-won-where” study. Best genotypes in each of these clusters were selected. The breeding for a specific cluster is suggested. Genotype-by-trait biplots indicated that GY is influenced by flowering time, 100-grain weight (HGW), and plant height (PH), whereas grain mold resistance is influenced by glume coverage and PH. Because GY and grain mold score were independent of each other, there is a scope to improve both yield and resistance together.

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Section: Discussionsupporting

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

et al. 2021

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“…(Akcura et al, 2017 ; Chaudhari et al, 2019 ; Naroui et al, 2020 ; Tollo et al, 2020 ). In a previous study, Diatta et al ( 2019 ) evaluated five sorghum hybrids along with their parental lines and reported a significant G × E interaction for grain yield. However, the G × E interaction was not significant for panicle mold infestation.…”

Section: Discussionmentioning

confidence: 99%

Harnessing Sorghum Landraces to Breed High-Yielding, Grain Mold-Tolerant Cultivars With High Protein for Drought-Prone Environments

et al. 2021

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Intermittent drought and an incidence of grain mold disease are the two major constraints affecting sorghum production and productivity. The study aimed at developing drought-tolerant sorghum varieties possessing a high protein content and tolerance to grain mold with stable performance using additive main effects and multiplicative interaction (AMMI) and genotype and genotype × environment interaction (GGE) biplot methods. Systematic hybridization among the 11 superior landraces resulted in subsequent pedigree-based breeding and selection from 2010 to 2015 evolved 19 promising varieties of grains such as white, yellow, and brown pericarp grains. These grain varieties were evaluated for their adaptability and stability for yield in 13 rainfed environments and for possessing tolerance to grain mold in three hot spot environments. A variety of yellow pericarp sorghum PYPS 2 (3,698 kg/ha; 14.52% protein; 10.70 mg/100 g Fe) possessing tolerance to grain mold was identified as a stable variety by using both AMMI and GGE analyses. Four mega-environments were identified for grain yield and fodder yield. Sorghum varieties PYPS 2, PYPS 4, PYPS 8, and PYPS 11 were highly stable in E2 with a low grain mold incidence. Besides meeting the nutritional demand of smallholder farmers under dryland conditions, these varieties are suitable for enhancing sorghum productivity under the present climate change scenario.

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“…In Senegal, efforts have been made by the national sorghum breeding program to develop high yielding, tannin-free, photoperiod-insensitive cultivars belonging to the race caudatum. ese efforts have led to the release of several tannin-free semicompact varieties such as CE151-262, CE196-7-2, 93B1057, F2-20, Nguinthe, Faourou, Nganda, and Darou whose yield is between 2 and 3 t ha −1 in farmer's field and are highly appreciated for their grain quality [8]. However, as these varieties were bred for earliness, in prolonged growing season, they mature before the end of the rainy season and are readily infected by grain mold that results in poor nutritional quality of the grain and poor germination rate when the contamination is high [9].…”

Section: Introductionmentioning

confidence: 99%

“…It has been used in sorghum to investigate the G × E interaction for several traits such as yield, drought tolerance, stem sugar, grain iron, and zinc concentration [7,[29][30][31]. In a recent study, high yielding sorghum hybrids (AVG-1 × Nganda and AVG-1 × Darou) have been identified as the most stable and tolerant to grain mold infestation, suitable for the center and southeast regions of Senegal [8]. e present study was conducted to identify the suitable material for this zone and increase yield in farmers' fields in terms of improved varieties.…”

Section: Introductionmentioning

confidence: 99%

Multienvironment Evaluation of Tannin-Free Photoperiod-Insensitive Sorghum (Sorghum bicolor (L) Moench) for Yield and Resistance to Grain Mold in Senegal

Diatta

Sarr

Tovignan

et al. 2021

International Journal of Agronomy

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Combining resistance to grain mold with high grain yield in tannin-free white-grained photoperiod-insensitive sorghum is of major interest for farmers in Senegal. In this study, GGE biplot analysis was used to assess the performance, adaptability, and stability of eleven sorghum parental lines and their hybrid combinations for yield and grain mold resistance under Senegalese environments. Eleven inbred lines along with their 22 hybrid combinations and one check were evaluated across three sites during the 2015 and 2016 rainy seasons under natural grain mold infestation. The results of this study showed strong genetic variability among studied genotypes for all measured traits. The highly significant G × E interaction effects for grain yield and panicle grain mold rating score (PGMR) indicated that both traits are influenced by genetics and to some extent by environment. Broad-sense heritability computed was high for all these traits except PGMR, showing a high environmental pressure on this later. The study showed that grain mold pressure in the studied sites decreased following a South-North gradient similar to the rainfall pattern, with the south region wetter, explaining the high disease pressure in Darou and Sinthiou Maleme contrary to Bambey. The GGE biplot analysis performed showed that the first two principal components explained 85.84% of the total variation of GGE sum of squares for grain yield. The which-won-where view of the GGE biplot for grain yield showed that the hybrid HB16 was the most adapted for Bambey area. The ranking of genotypes based on both yield performance and stability showed that HB16, HB5, HB21, HB18, and HB7 were the best hybrids combining high grain yield, high stability performance, and tolerance to grain mold disease across the test environments. These hybrids outperformed the best yielding inbred line P29 (2196.7 kg ha−1) with grain yield advantages ranging 17–60%. Therefore, these hybrids could be recommended to farmers in order to improve sorghum yield in Senegal.

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Development of sorghum hybrids for stable yield and resistance to grain mold for the Center and South-East of Senegal

Cited by 13 publications

References 37 publications

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach

Harnessing Sorghum Landraces to Breed High-Yielding, Grain Mold-Tolerant Cultivars With High Protein for Drought-Prone Environments

Multienvironment Evaluation of Tannin-Free Photoperiod-Insensitive Sorghum (Sorghum bicolor (L) Moench) for Yield and Resistance to Grain Mold in Senegal

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