Effects of genotype and environment on seed quality traits variability in interspecific cross-derived Brassica lines

Abstract

Genotype (G), environment [i.e. year (Y) and location (L)] and their interaction (GYL) play an important role in the final expression of quality attributes. A multi-environment trial in selected interspecific cross-derived Brassica lines was conducted to evaluate the magnitude of G, Y, L and GYL effects on seed quality traits of Brassica genotypes under three locations in Poland, during the 2011-2013 cropping season. The oil, protein, fiber (Acid Detergent Fiber and Neutral Detergent Fiber) as well as glucosinolate contents was determined by near-infrared reflectance spectroscopy (NIRS) and significant differences were observed between tested Brassica genotypes and across harvesting years and growing locations. Generally, all tested hybrid lines displayed wider genetic variability for studied quality traits than control genotypes. Analysis of variance indicated that the main effects of genotypes, years and locations as well as all interactions were significant for all traits of study (except year 9 location interaction for glucosinolates). However, location had the most significant effect on oil, protein and fiber content while genotype had significant impact on glucosinolates content in Brassica seeds. Moreover, the individual lines having combination of desirable traits were also identified from F 5 to F 7 generations of tested hybrids.

Effect of Genotype × Environment Interaction for Seed Traits in Winter Oilseed Rape (Brassica napus L.)

“…Padilla et al [53] indicated significant differences in total GLSs content related to sites, varieties and site × variety interaction in 113 varieties of Brassica rapa. Similar results were reported by Niemann et al [5] in their study on 25 Brassica lines of different origin. Moreover, several authors have reported that variation in the content of GLS in Brassica plants can be attributed to genetic and environmental factors, including plant age, temperature, water stress and soil type [54][55][56].…”

“…In the last 15 years, the global production of rapeseed has doubled, reaching over 60 million tons, with a grain production of almost 71 million tons recorded in the marketing year of 2018/2019 [1]. In Poland and other European countries characterized by moderate climate conditions, winter oilseed rape (WOSR) is considered as the most important oil-protein crop [2][3][4][5]. Since the 1960s, there has been a strong selection pressure to develop double-low (canola) oilseed rape producing seeds characterized by a very low content of erucic acid (C22:1, no more than 2%) and a significantly lowered glucosinolates (GLS) content (less than 25 µmole g −1 of seeds), as compared to over 50% of erucic acid and until 160 µmole g −1 of seeds of GLS, respectively, in the 'traditional' oilseed rape cultivars.…”

The impact of genotype‐by‐environment interaction on the dry matter yield and chemical composition in timothy (Phleum pratense L.) examined by using the additive main effects and multiplicative interaction model

“…As the indices used gave ambiguous results, the selection index (ASI), which encompasses the sum of the positions in both the above rankings, seems to be more useful. The usefulness of this index has already been confirmed in earlier research works Niemann et al, 2018;Olivoto et al, 2019;Sabaghnia et al, 2008;Tumuhimbise et al, 2014). Considering the ASI for the traits discussed in this work, the cultivar Skald and the strain PB-TT3 undoubtedly are the accessions which may be used for developing, by breeding methods, improved timothy cultivars.…”

Comparison of the Yield and Chemical Composition of Eleven Timothy (Phleum pratense L.) Genotypes under Three Locations in Poland

“…A study on the multivariate variation for treatments also includes the identification of the most important traits in the multivariate variation of treatments. The canonical variables analysis (CVA) is a statistical tool making it possible to solve this problem [22][23][24]. The results of the CVA for the investigated treatments are presented in Table 3.…”