Seed Protein Percentage and Mineral Concentration Variability and Correlation with Other Seed Quality Traits in the U.S. Peanut Mini-Core Collection

2016 ◽  
Author(s):  
Ming Li Wang ◽  
Michael A. Grusak ◽  
Charles C. Chen ◽  
Brandon Tonnis ◽  
Noelle A. Barkley ◽  
...  
2016 ◽  
Vol 43 (2) ◽  
pp. 119-125 ◽  
Author(s):  
Ming Li Wang ◽  
Michael A. Grusak ◽  
Charles Y. Chen ◽  
Brandon Tonnis ◽  
Noelle A. Barkley ◽  
...  

ABSTRACT Protein percentage and mineral concentrations are important parameters for determining the seed nutrition quality. Although the U.S. peanut mini-core collection is the important genetic resources for peanut breeding programs, the variability in protein percentage and mineral concentrations for this mini-core has not been well evaluated. The lack of information may hinder its optimum utilization. The seeds from this mini-core were collected from two field seasons. Their protein percentage and mineral concentrations of 95 accessions were determined by nitrogen analysis and inductively coupled plasma – optical emission spectrometry, respectively. Significant variability in the seed protein percentage among accessions was revealed, ranging from 20.6 to 30.4%, with an average of 26.2%. Significantly higher variability in plant micronutrient mineral concentrations (more than two-fold for B, Cu, Fe, Mn, Mo, Na, Ni, and Zn) than in macronutrient mineral concentrations (less than two-fold for K, Mg, P, and S) was also identified among accessions. Calcium however was an exception, demonstrating 3.7-fold variability among the accessions evaluated. Three accessions (PI 497517, PI 493547, and PI 429429) were identified as lines containing high seed levels of both Fe and Zn. Correlation coefficients were also determined among 28 investigated seed chemical composition traits, using data from a previous study with the same samples. Protein percentage was significantly negatively correlated with seed weight, oil, and oleate percentage. Several mineral elements (Fe, Mg, Mn, and Zn) were also significantly negatively correlated with oleate percentage. The results from this study will be useful for peanut nutrition breeding and food product development.


2004 ◽  
Vol 55 (7) ◽  
pp. 745 ◽  
Author(s):  
Wallace A. Cowling ◽  
Allen Tarr

Seed quality of 6 sweet narrow-leafed lupin (Lupinus angustifolius) cultivars was measured in 126 field trials in Western Australia over 11 years at 55 locations to determine the effect of locations (l), years (y), genotypes (g), and genotype × environment interactions on total seed alkaloids, seed oil, seed protein, seed size, and hectolitre weight. The variance component for g exceeded the sum of those for g × l, g × y, and g × l × y for all traits. The ranking of cultivars for each seed quality trait was fairly constant across years and locations. The largest variance component was l × y, which indicated that the ranking of locations for seed quality traits was unpredictable from year to year. There was a strong negative correlation between seed oil and seed protein across the 6 cultivars (r = –0.96, P < 0.01) and 126 experiments (r = –0.522, P < 0.001). Large seeds, produced at some experimental sites, were associated with high seed alkaloids and high seed oil. Seed quality traits were not associated with soil pH, latitude, or longitude of the experiments, but low pre-season rainfall was associated with higher hectolitre weight. This study indicates that it should be possible to identify genotypes with superior quality from relatively few field trials. Progress in breeding for protein and oil combined will be slowed by the strong negative genotypic correlation between the two traits.


2014 ◽  
Vol 127 (4) ◽  
pp. 881-896 ◽  
Author(s):  
Braulio J. Soto-Cerda ◽  
Scott Duguid ◽  
Helen Booker ◽  
Gordon Rowland ◽  
Axel Diederichsen ◽  
...  

Crop Science ◽  
2019 ◽  
Vol 59 (6) ◽  
pp. 2608-2620 ◽  
Author(s):  
Azam Nikzad ◽  
Berisso Kebede ◽  
Jaime Pinzon ◽  
Jani Bhavikkumar ◽  
Rong-Cai Yang ◽  
...  

2012 ◽  
Vol 5 (3) ◽  
pp. 84-95 ◽  
Author(s):  
M.L. Wang ◽  
C.Y. Chen ◽  
D.L. Pinnow ◽  
N.A. Barkley ◽  
R.N. Pittman ◽  
...  

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Paul I. Otyama ◽  
Andrew Wilkey ◽  
Roshan Kulkarni ◽  
Teshale Assefa ◽  
Ye Chu ◽  
...  

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