Indirect Selection for Grain Yield of Barley in Harsh Mediterranean Environments

Crop Science ◽  
1993 ◽  
Vol 33 (6) ◽  
pp. 1127-1131 ◽  
Author(s):  
E. J. Oosterom ◽  
S. Ceccarelli
Keyword(s):  
Grain Yield ◽  
Indirect Selection ◽  
Mediterranean Environments ◽  
Selection For

scholarly journals Early generation selection strategy for yield and yield components in white oat

2005 ◽  
Vol 62 (4) ◽  
pp. 357-365 ◽  
Author(s):  
Giovani Benin ◽  
Fernando Irajá Félix de Carvalho ◽  
Antônio Costa de Oliveira ◽  
Claudir Lorencetti ◽  
Igor Pires Valério ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Selection ◽  
Grain Weight ◽  
Yield Potential ◽  
High Yield ◽  
Direct Selection ◽  
Selection Strategy ◽  
Breeding Method ◽  
Growing Seasons ◽  
Selection For

Several studies have searched for higher efficiency on plant selection in generations bearing high frequency of heterozygotes. This work aims to compare the response of direct selection for grain yield, indirect selection through average grain weight and combined selection for higher yield potential and average grain weight of oat plants (Avena sativa L.), using the honeycomb breeding method. These strategies were applied in the growing seasons of 2001 and 2002 in F3 and F4 populations, respectively, in the crosses UPF 18 CTC 5, OR 2 <FONT FACE=Symbol>´</FONT> UPF 7 and OR 2 <FONT FACE=Symbol>´</FONT> UPF 18. The ten best genetic combinations obtained for each cross and selection strategy were evaluated in greenhouse yield trials. Selection of plants with higher yield and average grain weight might be performed on early generations with high levels of heterozygosis. The direct selection for grain yield and indirect selection for average grain weight enabled to increase the average of characters under selection. However, genotypes obtained through direct selection presented lower average grain weight and those obtained through the indirect selection presented lower yield potential. Selection strategies must be run simultaneously to combine in only one genotype high yield potential and large grain weight, enabling maximum genetic gain for both characters.

scholarly journals Path analysis and expected response in indirect selection for grain yield in soybean

2006 ◽  
Vol 6 (2) ◽  
pp. 151-159 ◽  
Author(s):  
I.M. Bárbaro ◽  
M.A.P.C. Centurion ◽  
A.O. Mauro ◽  
S.H. Unêda-Trevisoli ◽  
N.H.C. Arriel ◽  
...  
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Indirect Selection ◽  
Selection For

Wheat Breeding Nurseries, Target Environments, and Indirect Selection for Grain Yield

Crop Science ◽  
1997 ◽  
Vol 37 (4) ◽  
pp. 1168-1176 ◽  
Author(s):  
M. Cooper ◽  
R. E. Stucker ◽  
I. H. DeLacy ◽  
B. D. Harch
Keyword(s):  
Grain Yield ◽  
Indirect Selection ◽  
Wheat Breeding ◽  
Selection For

scholarly journals Correlations and path analysis in agronomic traits of soybeans under defoliation

2020 ◽  
Vol 36 (5) ◽  
Author(s):  
Alan Mario Zuffo ◽  
Francisco de Alcântara Neto ◽  
Tiago Zoz ◽  
Rafael Felippe Ratke ◽  
Jorge González Aguilera ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Agronomic Traits ◽  
Block Design ◽  
Indirect Selection ◽  
Additional Treatment ◽  
Leaf Damage ◽  
Thousand Grain Weight ◽  
Randomized Block Design ◽  
Selection For

 Stress events or leaf damage can alter the redistribution of photoassimilates and modify the morphological traits directly related to grain yield. This study aimed to evaluate the influence of agronomic traits on grain yield in soybean crop in function of leaf defoliation. The experiment consisted of a randomized block design with three replications, arranged in a 6 x 3 + 1 factorial scheme. The factors were composed by six reprodutive stages (R1, R2, R3, R4, R5, and R6) and three defoliation levels (33%, 66%, and 99%), and one additional treatment without defoliation (control). The following traits were evaluated: plant height, number of pods per plant, number of grains per pod, thousand grain weight, and grain yield. The magnitudes of the correlations between the same traits showed high oscillation according to the defoliation level. Results revealed the potential for the indirect selection for grain yield by the traits plant height and number of grains per pods under 0% of defoliation and by the trait number of pods per plant under 33% of defoliation.

scholarly journals Direct and Indirect Selection for Grain Yield in Bread Wheat (Triticum aesitivum L.)

2020 ◽  
Vol 11 (3) ◽  
pp. 241-249
Author(s):  
Hassan Fouad ◽  
M. El-Ashmoony ◽  
A. El-Karamity ◽  
M. Sarhan
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Indirect Selection ◽  
Selection For

Heritability, correlated response, and indirect selection involving spectral reflectance indices and grain yield in wheat

2007 ◽  
Vol 58 (5) ◽  
pp. 432 ◽  
Author(s):  
M. A. Babar ◽  
M. van Ginkel ◽  
M. P. Reynolds ◽  
B. Prasad ◽  
A. R. Klatt
Keyword(s):  
Grain Yield ◽  
Spectral Reflectance ◽  
Genetic Correlations ◽  
Grain Filling ◽  
Indirect Selection ◽  
The Other ◽  
Correlated Response ◽  
Response To Selection ◽  
Selection For ◽  
Reflectance Indices

The objectives of this study were to assess the potential of using spectral reflectance indices (SRIs) as an indirect selection tool for grain yield in wheat under irrigated conditions. This paper demonstrates the genetic correlation between grain yield and SRIs, heritability and expected response to selection for grain yield and SRIs, correlated response to selection for grain yield estimated from SRIs, and efficiency of indirect selection for grain yield using SRIs in different spring wheat populations. Four field experiments, GHIST (15 CIMMYT globally adapted genotypes), RLs1 (25 random F3-derived families), RLs2 (36 random F3-derived families), and RLs3 (64 random F5-derived families) were conducted under irrigated conditions at the CIMMYT research station in north-west Mexico in 3 different years. Spectral reflectance was measured at 3 growth stages (booting, heading, and grain filling) and 7 SRIs were calculated using average values of spectral reflectance at heading and grain filling. Five previously developed SRIs (PRI, WI, RNDVI, GNDVI, SR), and 2 newly calculated SRIs (NWI-1 and NWI-2) were evaluated in the experiments. In general, the within- and between-year genetic correlations between grain yield and SRIs were significant. Three NIR-based indices (WI, NWI-1, and NWI-2) showed higher genetic correlations (0.73–0.92) with grain yield than the other indices (0.35–0.67), and these observations were consistent in all populations. Broad-sense heritability estimates for all indices were in general moderate to high (0.60–0.80), and higher than grain yield (0.45–0.70). The realised heritability for the 3 NIR-based indices was higher than for the other indices and for grain yield itself. Expected response to selection for all indices was moderate to high (0.54–0.85). The correlated response for grain yield estimated from the 3 NIR-based indices (0.59–0.64) was much higher than the correlated response for grain yield estimated from the other indices (0.31–0.46), and the efficiency of indirect selection for these 3 NIR-based indices was 90–96% of the efficiency of direct selection for grain yield. These results demonstrate the potential for using the 3 NIR-based SRI tools in breeding programs for selecting for increased genetic gains for yield.

scholarly journals Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs

Crop Science ◽  
2020 ◽  
Vol 60 (6) ◽  
pp. 3096-3114 ◽  
Author(s):  
Margaret R. Krause ◽  
Suchismita Mondal ◽  
José Crossa ◽  
Ravi P. Singh ◽  
Francisco Pinto ◽  
...  
Keyword(s):  
Grain Yield ◽  
High Throughput ◽  
Indirect Selection ◽  
Early Generation ◽  
Breeding Programs ◽  
High Throughput Phenotyping ◽  
Selection For

scholarly journals Genetic diversity and inter-trait relationship of tropical extra-early maturing quality protein maize inbred lines under low soil nitrogen stress

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252506
Author(s):  
Pearl Abu ◽  
Baffour Badu-Apraku ◽  
Beatrice E. Ifie ◽  
Pangirayi Tongoona ◽  
Leander D. Melomey ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Grain Yield ◽  
Soil Nitrogen ◽  
Inbred Lines ◽  
Indirect Selection ◽  
Genetic Distances ◽  
Quality Protein Maize ◽  
Tryptophan Content ◽  
Selection For

Information on the genetic diversity, population structure, and trait associations of germplasm resources is crucial for predicting hybrid performance. The objective of this study was to dissect the genetic diversity and population structure of extra-early yellow and orange quality protein maize (QPM) inbred lines and identify secondary traits for indirect selection for enhanced grain yield under low-soil nitrogen (LN). One hundred and ten inbred lines were assessed under LN (30 kg ha -1) and assayed for tryptophan content. The lines were genotyped using 2500 single nucleotide polymorphism (SNP) markers. Majority (85.4%) of the inbred lines exhibited wide pairwise genetic distances between 0.4801 and 0.600. Genetic distances were wider between yellow and orange endosperm lines and predicted high heterosis in crosses between parents of different endosperm colors. The unweighted pair group method with arithmetic mean (UPGMA) and the admixture model-based population structure method both grouped the lines into five clusters. The clustering was based on endosperm color, pedigree, and selection history but not on LN tolerance or tryptophan content. Genotype by trait biplot analysis revealed association of grain yield with plant height and ear height. TZEEQI 394 and TZEEIORQ 73A had high expressivity for these traits. Indirect selection for high grain yield among the inbred lines could be achieved using plant and ear heights as selection criteria. The wide genetic variability observed in this study suggested that the inbred lines could be important sources of beneficial alleles for LN breeding programs in SSA.

Indirect selection for grain protein and grain yield in winter wheat

Euphytica ◽  
1990 ◽  
Vol 47 (2) ◽  
pp. 121-130
Author(s):  
M. M. Noaman ◽  
G. A. Taylor ◽  
J. M. Martin
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Indirect Selection ◽  
Grain Protein ◽  
Selection For
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