Milling yield components of local dryland rice varieties

Abstract

Family farmers in the western Santa Catarina state, Brazil, have conserved local dryland rice varieties. However, the literature lacks data about the milling performance of these varieties, as well as about the effects of genotypes, environment and genotype x environment interaction. The current study aimed to evaluate the milling yield, as well as whole, broken, white-belly and chalky grains, in experiments designed in complete randomized blocks, with four replications, in two sites. The rates for milling yield and whole and broken grains were, respectively, 57.93-69.90 %, 38.73-66.0 % and 3.40-22.15 %, with 15 local varieties reaching values similar to those recorded for modern dryland rice varieties. The Anchieta county (origin of the varieties) recorded the highest values for milling yield and whole grain. The incidence rates for white-belly and chalky grains were, respectively, 0.10-8.68 % and 0.02-3.12 %. Significant differences (p ≤ 0.05) were observed for genotype, environment and genotype x environment interaction effects, concerning the milling yield. For whole and broken grains, the differences were significant (p ≤ 0.05) for genotype and environment, but not significant for genotype x environment interaction. For white-belly and chalky grains, the differences were significant (p ≤ 0.05) for genotype and genotype x environment interaction, but not significant for environment. For all the studied milling yield variables, differences were observed for the varieties' stability, as well as established a stability ranking.

Genetic trends and multivariate interrelationships for grain quality of irrigated rice genotypes

“…For the characters of grain size and shape (group 1) they were inversely correlated with the percentage of whole grains (group 2). These correlations corroborate the statements of Farias Filho and Ferraz Júnior (2009) and Maghelly, Ogliari, Souza, Reichert Júnior and Pinto (2020), where whole grain yield is affected by grain size and shape, concluding that genotypes with longer and shorter widths had the lowest whole grain yields. 1 GY -grain yield (g); NG -number of grains per 60g sample; CL -caryopsis length (mm); CW -caryopsis width (mm); CLW -caryopsis length x width ratio (mm); CA -total chalky area (%); WB -percentage of grains with white belly (%); DC -total defects of coloring (%); WHV -grain vitreous whiteness constant; WG -percentage of whole grains (%) and BG -percentage of broken grains (%); WHTtotal whiteness constant; CH -percentage of total chalky grains; YEL -percentage of yellow grains; ARM -percentage of arid and moldy grains; MAC -magnitude of the coefficients and BRO -percentage of broken grains.…”

Agronomic Performance of Local Dryland Rice Varieties of the Far West of Santa Catarina, Brazil

“…Benefit income, whole and broken grains ranged from 57.93 to 69.90%, 38.73 to 66.0% and from 3.40 to 22.15%, respectively. Fifteen local varieties (7, 12, 13, 14, 17, 22, 29, 34, 35, 54, 60, 72, 83, 84 and 98) reached values similar to those obtained by improved dryland rice varieties (Maghelly et al, 2020). Of these local varieties that stood out in the processing yield analysis, the varieties 29 and 54, belonging to group IV (with potential for classification as special grains), were positioned among those with better processing yield.…”

“…In a previous study, Maghelly et al (2020) evaluated the main parameters of processing yield of these local varieties of the far west of Santa Catarina. Benefit income, whole and broken grains ranged from 57.93 to 69.90%, 38.73 to 66.0% and from 3.40 to 22.15%, respectively.…”