Genotype by environment interactions of Indian mustard (Brassica juncea L.) and canola (B. napus L.) in Mediterranean-type environments

2006 ◽  
Vol 25 (1) ◽  
pp. 1-12 ◽  
Author(s):  
C.P. Gunasekera ◽  
L.D. Martin ◽  
K.H.M. Siddique ◽  
G.H. Walton
Keyword(s):  
Brassica Juncea ◽  
Indian Mustard ◽  
Genotype By Environment Interactions ◽  
Genotype By Environment

Agronomic performance of autumn- and winter-cropped Indian mustard (Brassica juncea L.) in response to varying levels of nitrogen fertiliser

2020 ◽  
pp. 83-95
Author(s):  
Bent Al-Hoda Asghari ◽  
Mohsen Yousefi ◽  
Katarzyna Możdżeń ◽  
Joanna Puła ◽  
Peiman Zandi ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Agronomic Traits ◽  
Growth Parameters ◽  
Indian Mustard ◽  
Climatic Conditions ◽  
Plant Seed ◽  
Nitrogen Fertiliser ◽  
Nitrogen Levels ◽  
Cropping Seasons

Indian mustard (Brassica juncea L. Czern) cultivation is suggested for regions with short seasons and low rainfall. Although there have been many studies conducted on agronomic production of mustard in Iran, the information regarding the interactive impact of cropping seasons and nitrogen fertiliser on growth characteristics and yield quality of mustard plant is still insufficient and requires further investigation. This study focused on the possible implications of different cropping seasons and different nitrogen levels on selected agronomic traits in mustard. In this experiment, five different doses of nitrogen and two sowing periods were used to assess for their combined effects on the growth parameters, seed yield and agronomic characteristics of mustard in the semi-arid climatic conditions of Takestan. The results revealed that cultivation seasons and nitrogen rates had a significant effect on plant height, biomass yield, number of siliques per plant, seed oil content and seed yield.

Chemical Constituents in Some Promising Genotypes of Indian Mustard [Brassica juncea (L.) Czern and Coss.]

2017 ◽  
Vol 4 (04) ◽  
Author(s):  
SUNITA SINGH ◽  
R. P. SINGH ◽  
H. K. SINGH ◽  
N. A. KHAN ◽  
M. K. MAURYA
Keyword(s):  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Erucic Acid ◽  
Brassica Juncea ◽  
Acid Composition ◽  
Chemical Constituents ◽  
Indian Mustard ◽  
Acid Value ◽  
Fatty Acid Analysis ◽  
Crude Fibre

Among the oilseed Brassica crops, Indian mustard [Brassica juncea (L.) Czern and Coss.] is an important source of oil from a nutritional point of view. The nutritional value of oil and cake quality is governed mainly by the composition of its fatty acids, iodine value, saponification, acid value, glucosinolates, crude fibre, protein and limiting amino acids, etc. Seventeen varieties/strains of Indian mustard were taken for saturated and unsaturated fatty acid analysis. The eicosenoic was absent in genotype (NUDBYJ-10) and erucic acid (NUDBYJ-10, LES-46 and Pusa mustard- 21). The fatty acid composition found a variable in different genotypes. Saturated fatty acid, Palmitic + Stearic ranged between 2.3 to 6.5%, Oleic 10.6 to 40.7%, Linoleic 16.1 to 37.7%, Linolenic 13.3 to 26.7%, Eicosenoic 0.00 to 10.30% and Erucic acid 0.00 to 47.50%, respectively. Alternaria blight severity also varied in different genotypes and ranged between 18.75 to 56.25%, maximum being in genotype Kranti and minimum in LES-47. No significant correlation was observed between the fatty acid composition and disease severity. The oil content range from 38.1 to 42.60% and protein content was found highest in variety RGN-73. The amino acid viz. methionine and tryptophan range between 0.41 to 1.81 g/16gN and 0.41 to 1.81 g /16g N, respectively.

Genotype by environment interactions and combining ability for strawberry families grown in diverse environments

Euphytica ◽  
2017 ◽  
Vol 213 (5) ◽  
Author(s):  
Megan M. Mathey ◽  
Sonali Mookerjee ◽  
Lise L. Mahoney ◽  
Kazim Gündüz ◽  
Umesh Rosyara ◽  
...  
Keyword(s):  
Combining Ability ◽  
Genotype By Environment Interactions ◽  
Genotype By Environment

Genetic Parameters and Genotype-by-Environment Interactions in Regional Progeny Tests of Pinus taeda L. in the Southern USA

2020 ◽  
Author(s):  
Edwin Lauer ◽  
Andrew Sims ◽  
Steven McKeand ◽  
Fikret Isik
Keyword(s):  
Genetic Variation ◽  
Pinus Taeda ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Breeding Program ◽  
Model Fit ◽  
Genotype By Environment Interactions ◽  
Genotype By Environment ◽  
Progeny Tests ◽  
Pinus Taeda L

Abstract Genetic parameters were estimated using a five-series multienvironment trial of Pinus taeda L. in the southern USA. There were 324 half-sib families planted in five test series across 37 locations. A set of six variance/covariance matrices for the genotype-by-environment (G × E) effect for tree height and diameter were compared on the basis of model fit. In single-series analysis, extended factor analytical models provided generally superior model fit to simpler models for both traits; however, in the combined-series analysis, diameter was optimally modeled using simpler variance/covariance structures. A three-way compound term for modeling G × E interactions among and within series yielded substantial improvements in terms of model fit and standard errors of predictions. Heritability of family means ranged between 0.63 and 0.90 for both height and diameter. Average additive genetic correlations among sites were 0.70 and 0.61 for height and diameter, respectively, suggesting the presence of some G × E interaction. Pairs of sites with the lowest additive genetic correlations were located at opposite ends of the latitude range. Latent factor regression revealed a small number of parents with large factor scores that changed ranks significantly between southern and northern environments. Study Implications Multienvironmental progeny tests of loblolly pine (Pinus taeda L.) were established over 10 years in the southern United States to understand the genetic variation for the traits of economic importance. There was substantial genetic variation between open-pollinated families, suggesting that family selection would be efficient in the breeding program. Genotype-by-environment interactions were negligible among sites in the deployment region but became larger between sites at the extremes of the distribution. The data from these trials are invaluable in informing the breeding program about the genetic merit of selection candidates and their potential interaction with the environment. These results can be used to guide deployment decisions in the southern USA, helping landowners match germplasm with geography to achieve optimal financial returns and conservation outcomes.

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