Study of Genetic Variability, Heritability and Genetic Advance in Foxtail Millet in both Rainy and Post Rainy Season

M, Brunda S.; M.Y, Kamatar; K.L, Naveenkumar; Hundekar, Ramaling

doi:10.9790/2380-071133437

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…It might be due to the fact that gen0types are different in their yielding potential depending on many physiological processes taking place in different plant parts, and are controlled by both the genetic makeup of the plant and the environment. These results are in agreement with the findings of Brunda et al (2014), Srikanya et al (2020) and Jyothi et al (2016) in foxtail millet. Among the foliar application treatments, there was an improvement in grain and straw yield to an extent of 29.05 % in grain and 16.28 % respectively over control (Table 3 and Figure 1).…”

Section: Resultssupporting

confidence: 93%

Influence of biostimulants on growth and productivity of foxtail millet (Setaria italica L.) genotypes

G S,

A. Y.,

Salimath

et al. 2023

ECJ

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A field experiment was carried out at AHRS, Bavikere, Karnataka during late kharif season of 2021to find out the “Influence of biostimulants on growth and productivity of foxtail millet (Setaria italica L.) genotypes’’. The field trial was laid out in split plot design with 12 treatment combinations. The study involves three genotypes in the main plot viz., SiA-3156 (G1), HMT-100-1 (G2) and DHFt-109-3 (G3). Foliar application of biostimulants in sub plots viz., 0.1 % humic acid (F1), 3 % panchagavya (F2), 0.1 % humic acid and 3 %panchagavya (F3) at 30 and 60 days after sowing (DAS) and recommended dose of fertilizer (RDF) as control (F4). Genotypes and Foliar application of biostimulants exhibited significant variation in growth and yield components of foxtail millet. Among the different genotypes, HMT-100-1 recorded significantly higher plant height (142.00 cm), number of tillers per meter (81.87) and leaf area (18.40 dm2/plant) at harvest and also yield components like panicle length (16.60 cm), grain weight per panicle (4.02 g) and grain yield (1701.0 kg/ha) compared to DHFt-109-3 and SiA -3156. In biostimulants, Foliar application of 0.1 % humic acid and 3 % panchagavya recorded significantly higher plant height (142.32 cm), number of tillers per metre (83.75) and leaf area (18.51 dm2/plant) at harvest and also yield components like panicle length (16.99 cm), grain weight per panicle (4.33 g) and grain yield (1781.2 kg/ha). While, they were found to be at their lowest with application of RDF alone. Interaction between genotypes and biostimulants was also found to be significant in which combination of HMT-100-1 with foliar application of 0.1 % humic acid and 3 %panchagavya recorded significantly higher growth and yield compared to other treatment combinations.

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Section: Resultssupporting

confidence: 93%

Influence of biostimulants on growth and productivity of foxtail millet (Setaria italica L.) genotypes

G S,

A. Y.,

Salimath

et al. 2023

ECJ

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“…(Table4). These results are in agreement withBrunda et al (2014) for grain yield per plant,Nirubana et al (2017) for the number of productive tillers per plant andSao et al (2017) for the length of panicle.…”

supporting

confidence: 91%

Genetic diversity studies in kodo millet (Paspalum scrobiculatum L.)

2021

EJPB

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The present investigation was undertaken to assess genetic diversity in seventy genotypes of kodo millet. The analysis of variance revealed the presence of significant variation among the genotypes for all 13 characters. Higher genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance as per cent mean were recorded for thumb raceme length, number of productive tillers per plant, length of panicle, raceme length and grain yield per plant, indicating that simple selection could be practised for improving these traits. Seventy genotypes were grouped into seven different clusters on the basis of magnitude of D 2 values by Mahalanobis D 2 analysis. Cluster I had 51 genotypes followed by cluster II with 14 genotypes, while clusters III, IV, V, VI and VII were mono genotypic. The inter-cluster distance was high between clusters II and III and therefore it is suggested to use these genotypes as parents for hybridization to evolve potential segregants.

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“…The occurrence of the disease at Naivasha enhanced high heritability (0.86) as compared with the low heritability (0.18) at Mlangarini. This is due to the fact that uniform environmental conditions ensure high level of heritability while variable environments lower the level of heritability (Brunda et al, 2014). The amount of inoculum applied on the plants at Naivasha was actually uniform such that genetic variation of the accessions in this study exerted an influence responsible for the variation in response against MLND.…”

Section: Discussionmentioning

confidence: 91%

Evaluation of maize accessions for diversity, yield and tolerance to maize lethal necrosis disease in Tanzania

Kabululu¹

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Maize (Zea mays L.) is among the most important crops in Tanzania with still low average yield of 1.2 metric tonnes per hectare as compared with potential yields of 4 to 5 metric tonnes per hectare. Low yield is due to a number of factors including pests and diseases. Recently, East Africa has been hard hit by a new deadly disease of maize called Maize Lethal Necrosis Disease (MLND). The disease started in Kenya in 2011 and later spread to other countries including Tanzania and it continues to spread fast in other countries. It is caused by a combination of two viruses i.e., Maize chlorotic mottle virus (MCMV) and any other Potyvirus, with Sugarcane mosaic virus (SCMV) reported for East Africa. The aim of this study was to evaluate genetic diversities of maize accessions (focusing more on landraces) with respect to their MLND resistance and optimum yield in Tanzania. Fifty one maize landraces from National Plant Genetic Resources Centre (NPGRC) in Tanzania, thirty four commercial varieties as checks for yield and thirteen elite lines from CIMMYT Kenya as checks for resistance against MLND were used. Three field experiments were conducted at Tengeru, Mlangarini and Selian in Tanzania for genetic diversity study and MLND evaluation, one field experiment was conducted at Naivasha Kenya for MLND evaluation. Molecular study was conducted at Nelson Mandela African Institution of Science and Technology in Tanzania. Significant (p < 0.05) variations were observed among the tested accessions and an OPV Situka 1 and a hybrid DH 04 were the best yielding varieties across Tengeru, Mlangarini and Selian with 116.01g and 115.90g per plant respectively. Landraces TZA 2793 and TZA 5170 were among the highest yielding accessions with 100.46g and 99.80g per plant respectively. The allele distribution and frequency associated with quantitative trait loci for SCMV resistance were detected with landraces and TZA 2793 as well as TZA 3544 expressed low MLND progression across Mlangarini and Naivasha. The results of significant genetic diversity and response against MLND of maize landraces tested in this study calls for further investigation to ascertain their utilization in breeding and crop improvement.

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Study of Genetic Variability, Heritability and Genetic Advance in Foxtail Millet in both Rainy and Post Rainy Season

Cited by 6 publications

References 2 publications

Influence of biostimulants on growth and productivity of foxtail millet (Setaria italica L.) genotypes

Influence of biostimulants on growth and productivity of foxtail millet (Setaria italica L.) genotypes

Genetic diversity studies in kodo millet (Paspalum scrobiculatum L.)

Evaluation of maize accessions for diversity, yield and tolerance to maize lethal necrosis disease in Tanzania

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