scholarly journals Inheritance of primary yield component traits of common beans (Phaseolus Vulgaris L.): Number of seeds per pod and 1000 seed weight in an 8 8 diallel cross population

2013 ◽  
Vol 5 (4) ◽  
pp. 42-53 ◽  
Author(s):  
Mulugeta Atnaf
Keyword(s):  
Phaseolus Vulgaris ◽  
Seed Weight ◽  
Diallel Cross ◽  
Yield Component ◽  
Common Beans ◽  
Phaseolus Vulgaris L ◽  
Primary Yield ◽  
Component Traits ◽  
Yield Component Traits ◽  
Number Of Seeds

scholarly journals Major seed size QTL on chromosome A05 of peanut (Arachis hypogaea) is conserved in the US mini core germplasm collection

2019 ◽  
Vol 40 (1) ◽  
Author(s):  
Ye Chu ◽  
Peng Chee ◽  
Thomas G. Isleib ◽  
C. Corley Holbrook ◽  
Peggy Ozias-Akins
Keyword(s):  
Seed Size ◽  
Seed Weight ◽  
Germplasm Collection ◽  
Yield Component ◽  
Leaf Spot Disease ◽  
Large Seed ◽  
Mini Core Collection ◽  
Common Qtl ◽  
Component Traits ◽  
Yield Component Traits

AbstractPod and seed size are important characteristics for the peanut industry and have been under strong selection pressure since peanut domestication. In order to dissect the genetic control of peanut pod and seed size, a recombinant inbred mapping population from a cross of Florida-07 by GP-NC WS 16 was used to determine the genomic regions associated with traits including 100 pod weight, 100 seed weight, pod weight of double-seeded pods, seed weight of double-seeded pods, and area of double-seeded pods. Nine QTL on linkage groups (LGs) A05, A06, A09, B10, B04, A03, B05, and B08 were associated with pod and seed size. A majority of the QTL have small effects except the locus on LG A05 (93 to 102 Mbp) which explained up to 66% phenotypic variation for all measured pod and seed traits. A comparison of QTL previously reported for yield component traits showed a common QTL on LG A05 was detected in two genetic populations whose parentage is distinct from those used in this study. The markers tightly linked to this major QTL were informative in distinguishing large versus small-seeded germplasm lines in the mini core collection originating from thirty-one countries, suggesting selection for this seed size QTL in large-seeded ecotypes. However, the large seed size allele appeared to co-segregate with a late leaf spot disease susceptibility allele inherited from the Florida-07 parent. Therefore, peanut breeders need to weigh the pros and cons before integrating the large seed size QTL from Florida-07 in their breeding program.

scholarly journals Principal component analyses in mungbean genotypes under summer season

2021 ◽  
Vol 17 (2) ◽  
pp. 287-292
Author(s):  
Priya Tiwari ◽  
Stuti Sharma
Keyword(s):  
Principal Component ◽  
Complex Trait ◽  
Yield Component ◽  
Plant Seed ◽  
Eigen Value ◽  
Eigen Values ◽  
Component Traits ◽  
Total Variability ◽  
Yield Component Traits ◽  
Number Of Seeds

Yield is a complex trait subjective to several components and environmental factors. Therefore, it becomes necessary to apply such technique which can identify and prioritize the key traits to lessen the number of traits for valuable selection and genetic gain. Principal component analysis is primarily a renowned data reduction technique which identifies the least number of components and explain maximum variability, it also rank genotypes on the basis of PC scores. PCA was calculated using Ingebriston and Lyon (1985) method. In present study, PCA performed for phenological and yield component traits presented that out of thirteen, only five principal components (PCs) exhibited more than 1.00 eigen value, and showed about 80.28 per cent of total variability among the traits. Scree plot explained the percentage of variance associated with each principal component obtained by illustrating a graph between eigen values and principal component numbers. PC1 showed 26.12 per cent variability with eigen value 3.40. Graph depicted that the maximum variation was observed in PC1 in contrast to other four PCs. The PC1 was further associated with the phenological and yield attributing traits viz., number of nodes per plant, number of pod cluster per plant, number of pod per plant. PC2 exhibited positive effect for harvest index. The PC3 was more related to yield related traits i.e., number of seeds per pod, number of seeds per plant and biological yield per plant, whereas PC4 was more loaded with phenological traits. PC5 was further related to yield and yield contributing traits i.e. number of primary branches per plant, seed yield per plant and 100 seed weight. A high value of PC score of a particular genotype in a particular PC denotes high value for those variables falling under that specific principal component. Pusa Vishal found in PC 2, in PC 3, PC 4 and PC 5, can be considered as an ideal breeding material for selection and for further deployment in defined breeding programme.

Estimates of genetic variability and scope of selection for yield determinants in mutated populations of chickpea (Cicer arietinum L.)

2015 ◽  
Vol 38 (5) ◽  
Author(s):  
Kunj Chandra ◽  
G. M. Lal ◽  
Chandra Mohan Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Selection Process ◽  
Yield Component ◽  
Component Traits ◽  
Biological Yield ◽  
Yield Component Traits ◽  
100 Seed Weight ◽  
High Seed Yield

The experimental material consisted seven mutagenic populations of chickpea in M<sub>3</sub> and M<sub>4</sub> generation, control (Avarodhi) and check variety Pusa 312. The experiment was conducted during <italic>rabi</italic> 2009-10 and 2010-11. On the basis of <italic>per se</italic> performance, six mutagenic populations were selected for high seed yield coupled with high harvest index and more number of pods per plant. None of the mutagenic populations exhibited high estimates of GCV and PCV in M<sub>3</sub> generation whereas number of pods per plant and 100 -seed weight exhibited high estimates of GCV and PCV in M<sub>4</sub> generation. The results on heritability and genetic advance indicated that the isolation of mutants from M<sub>4</sub> population with high number of secondary branches per plant, high number of pods per plant, high 100 seed weight, high harvest index and high seed yield per plant is possible in advanced generations. All the yield component traits exhibited positive and significant association with seed yield per plant at phenotypic level except plant height and number of primary branches per plant in both M<sub>3</sub> and M<sub>4</sub> generations. Harvest index and biological yield per plant had high (maximum) direct effect on seed yield per plant in both generations. In selection process, emphasis on harvest index, biological yield per plant, number of primary branches per plant, of secondary branches per plant and of pods per plant should be given to isolate the high yielding segregants in chickpea.

Bioaccessibility of Phenols in Common Beans (Phaseolus vulgaris L.) and Iron (Fe) Availability to Caco-2 Cells

2008 ◽  
Vol 56 (22) ◽  
pp. 10999-11005 ◽  
Author(s):  
José Moisés Laparra ◽  
Raymond P. Glahn ◽  
Dennis D. Miller
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Beans ◽  
Phaseolus Vulgaris L

QTL analyses for seed iron and zinc concentrations in an intra-genepool population of Andean common beans (Phaseolus vulgaris L.)

2010 ◽  
Vol 122 (3) ◽  
pp. 511-521 ◽  
Author(s):  
Matthew W. Blair ◽  
Carohna Astudillo ◽  
Judith Rengifo ◽  
Steve E. Beebe ◽  
Robin Graham
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Beans ◽  
Phaseolus Vulgaris L ◽  
Iron And Zinc ◽  
Zinc Concentrations

scholarly journals Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  
Keyword(s):  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Accurate Identification ◽  
Rice Varieties ◽  
Panicle Number ◽  
Tropical Conditions ◽  
Component Traits ◽  
Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

scholarly journals Attraction of Astylus variegatus (Germ.) (Coleoptera: Melyridae) by volatile floral attractants

2007 ◽  
Vol 64 (3) ◽  
pp. 305-307 ◽  
Author(s):  
Maurício Ursi Ventura ◽  
Tania Pereira ◽  
Daiane Heloisa Nunes ◽  
Iara Cintra de Arruda
Keyword(s):  
Phaseolus Vulgaris ◽  
Common Beans ◽  
Phaseolus Vulgaris L ◽  
Release Rates ◽  
Plastic Strip ◽  
Feeding Stimulant ◽  
Laboratory Conditions ◽  
Diabrotica Speciosa ◽  
And Control ◽  
Lagenaria Vulgaris

The beetle Astylus variegatus (Germ.) (Coleoptera: Melyridae) is frequently found in flowers feeding on pollen. Responses of A. variegatus to volatile floral attractants were studied in common beans (Phaseolus vulgaris L.) fields. Traps originally designed to capture Diabrotica speciosa (Germ.) (Coleoptera: Chrysomelidae), consisted of plastic bottles (2 L) with 150 holes (5-mm diameter) yellow gold painted and containing inside a plastic strip (3.5 <FONT FACE=Symbol>´</FONT> 25 cm) with Lagenaria vulgaris (L.) powder (0.28% B cucurbitacin - feeding stimulant and arrestant for diabroticites) sprayed with carbaril insecticide. Treatments consisted of 1,4-dimethoxybenzene (one or two dispensers per trap), 1,4-dimethoxybenze + indole, 1,4-dimethoxybenzene + cinnameldehyde and control. Volatile average release rates (over ten days) was approximately 32 mg day-1 per dispenser under laboratory conditions. 1,4-dimethoxybenzene-lured traps caught significantly more beetles than the control, three and seven days after trap setting. Ten days after the onset of the experiment, there were no differences in number of beetles caught by treatments. Captures were higher in the 1,4-dimethoxybenzene + cinnamaldehyde treatment than in 1,4-dimethoxybenzene only in the first assessment. Adding indole to 1,4-dimethoxybenzene did not improve beetle captures.

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