Genetic Studies for Selection Parameters in Cauliflower (Brassica oleracea L. var. botrytis): A Review

Abstract

The constant availability of high-yielding and well-adapted varieties is made possible by a vigorous breeding program and it is the first and least expensive input in improving the output of any crop. To design breeding methods for the development of a certain crop, it is essential to have a thorough understanding of genetic variations, correlations between various traits, and their direct and indirect contributions to yield. The amount of genetic variability and character outstanding from one generation to the next determine how much a crop may progress genetically. Because phenotypic selection relies on the range of genetic variability available in the population, it is necessary to separate the variability into heritable and non-heritable components. This will increase the reliability of the selection. Curd yield in cauliflower is a complicated trait that is greatly impacted by the environment since it is regulated by several genes. Some of the component qualities may be directly and favourably correlated with the marketable curd weight, making them suitable for use as selection criteria in crop improvement programs. Characters having a strong and positive/desirable correlation to one another would be used to boost yield effectively. The proper weightage for selection purposes is also determined by the proportional contribution of the component qualities to the yield. The level of genetic diversity contained in a specific crop determines the most appropriate varietal development programs.

Correlation Coefficient and Path Analysis Studies on Various Horticultural Attributes of Cauliflower (Brassica oleracea Var. Botrytis)

“…Marketable curd weight (MCW), NCW and GPW expressed the highly positive and significant correlation with trait curd yield. Our findings were found in conformity with outcomes of (Nimkar, 2013;Kumar et al, 2005;Singh et al, 2006, Kanwar et al, 2010Kumar et al, 2011;Pal et al, 2017 andSharma et al, 2018).…”

“…According to path coefficient analysis, the yield of curd per plant was the most crucial factor since it contributed directly and indirectly through other factors to the yield of curd per hectare, which was used to improve the genotypes of cauliflower. Highest direct effect of marketable curd weight on net curd weight was previously observed by (Nimkar, 2013;Singh et al, 2006;Kumar et al, 2011). Kumar et al, (2017); Kanwar and Korla,( 2002) recorded with indirectly positive effect of LL, HI and DTCM on NCW.…”

Evaluation of early cauliflower (Brassica oleracea var. botrytis L.) elite material for maturity, yield and quality characters

“…The mean performances of the traits in the thirteen cauliflower genotypes are detailed in Table 1, highlighting significant differences among all the genotypes for the studied characters. A wide range of variations existing for various quantitative traits has also been reported in cauliflower by various workers (Thakur, 1998 [13] , Chittora and Singh (2015) [2] in cauliflower.…”

“…When it comes to the development of curd, this crop requires a particular climate in contrast to other vegetables in the brassicaceous family. Extreme temperatures and droughts, for example, might cause cauliflower to react negatively and produce pre-mature curd, which can have a negative economic impact (Singh et al, 2014) [13] . Crop improvement mainly depends on the presence of large genetic variability in the germplasm and the subsequent introduction of an appropriate breeding method.…”

Genetic variability of F2 foxtail millet population derived from ICERI-5 and Botok-10 cross

“…In this study, the targeted traits such as plant height, flowering time, and grain weight per plant showed moderate to high GCV with moderate to high heritability, indicating that selection based on these traits is potential to be performed. According to Singh et al (2022), heritability is useful in forecasting the predicted level of improvement that would be attained by the selection and combined with the genotypic coefficient of variation (GCV). However, additional information that is unavailable in this study, including additive genetic variance, narrow-sense heritability, and type of gene action are required to determine whether the selection is promising to be conducted in early generation.…”