Insight the Quality Parameters of Diverse Rice Germplasm Set of Chhattisgarh
Samrath Baghel
Indira Gandhi Krishi Vishwavidyala, Raipur, Chhattisgarh, India.
Parmeshwar K. Sahu
Indira Gandhi Krishi Vishwavidyala, Raipur, Chhattisgarh, India.
Parminder Singh Saini
Indira Gandhi Krishi Vishwavidyala, Raipur, Chhattisgarh, India.
Ritu Saxena
Indira Gandhi Krishi Vishwavidyala, Raipur, Chhattisgarh, India.
Sunil Nair
Indira Gandhi Krishi Vishwavidyala, Raipur, Chhattisgarh, India.
B. K. Das
Bhabha Atomic Research Centre, Mumbai, Maharashtra, India.
Deepak Sharma *
Indira Gandhi Krishi Vishwavidyala, Raipur, Chhattisgarh, India.
*Author to whom correspondence should be addressed.
Abstract
The present study focuses on the evaluation of quality parameters of 198 rice genotypes including standard checks in augmented RCBD design. In ANOVA treatment ignoring blocks, heterogeneity among block was eliminated and for every new added treatment the mean sum of square for all the traits were found to be significant at 1% level of significance. Traits viz., milling recovery, iron content and degree of milling were skewed, while rest were normally distributed. Trait paddy and grain length were found to be highest for accession Dokra dori (12.44mm),Milling recovery was noted high for Luchai mutant (72.66%). Degree of milling found highest for Jeeraphool (93.95%). Apparent amylose content was highest in Ambemohar mutant-1(33.2%). Principal component analysis revealed that PC1 and PC2 explains variation for the trait, length and width of paddy, brown rice and milled rice transgressive segregants can be obtained for these traits by crossing genotype Chiko and Chaptigurmatiya parent, Angur gucha and Gobi buta, Chiko and Visnubhog mutant V-80, Khatia pati and Shri kamal as these were depicted as most diverse genotype.
Keywords: Apparent amylose content, augmented RCBD, grain quality traits, milling recovery, principal components, rice germplasm