Panicle Traits and Plant Height are Important Selection Indices to Enhance Productivity in Pearl Millet (Pennisetum glaucum L.R.Br.) Populations

Genetic variability of panicle architecture in traditional finger millets from Koraput valley of Eastern Ghats for crop improvement

“…Though the hybrid varieties Bhairabi and ML 365 showed highest yield but some of the traditional genotypes such as 'Limca' and 'Kalia' showed better yield at par with the hybrids. Similar results of morphological variations in nger millets are also reported in indifferent germplasm collections (Shet et al 2009;Ulaganathan and Nirmalakumari 2013;Patil et al 2018). To know the relationship of grain yield with other panicle traits, data are subjected to multiple correlation analysis.…”

“…The panicle architecture is a key component which enhances grain productivity and basically controlled by panicle number, panicle length, accompanying branching pattern and grains (Huang et al 2018;Patil et al 2018). Certain traditional nger millet genotypes like Bhadi, Mudra, Telgu and Chilli exhibited signi cantly higher panicle number and panicle weight in compassion to rest genotypes that determined superiority of panicle traits.…”

“…Crop yield is the most important multifaceted traits and is the nal outcome of combination of different traits like panicle number, panicle length, grain number and weight of grains etc. (Kumari and Singh 2016;Patil et al 2018). Panicle characteristics in nger millet are regarded as most intuitive part that controls the quality and yield of nger millet (Wu et al 2016;Lei et al 2018).…”

“…Panicle characteristics in nger millet are regarded as most intuitive part that controls the quality and yield of nger millet (Wu et al 2016;Lei et al 2018). Therefore, panicle architecture is an important component and for the most part makes biggest contribution to grain yield (Zhou et al 2014;Zhao et al 2016;Patil et al 2018). Many genes and QTL responsible for panicle traits and yield associated traits has been reported in nger millet (Saha et al 2016;Ceasar et al 2018;Sood et al 2019).…”

Genetic Variability Studies on Yield, Physiological and Nutritional Traits in Pearl Millet [Pennisetum glaucum (L.) R. Br.]

“…Similar kind of estimates was also reported by Dehinwal et al, (2016) for green fodder yield plot -1 ; Ravi et al, (2016) for. grain yield plot -1 and green fodder yield plot -1 and LAD; Anuradha et al, (2017) for number of productive tillers plant -1 , iron, zinc and protein content; Patel et al, (2018) for plant height; Sharma et al, (2018) for panicle length and Nehra et al, (2017) for green fodder yield plant -1 and 1000 grain weight. Moderate co-efficient of variation was observed for grain yield plant -1 (GCV = 18.58%; PCV = 19.89%) followed by LAI at 60 DAS (GCV = 18.15%; PCV = 18.60%), SLA at 60 DAS (GCV = 12.54%; PCV = 15.83%), harvest index (GCV = 13.59%; PCV = 14.48%) and panicle girth (GCV = 11.38%; PCV = 12.98%).…”