scholarly journals Supporting Physiological Trait for Indirect Selection for Grain Yield in Drought-Stressed Popcorn

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1510
Author(s):  
Samuel Henrique Kamphorst ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Antônio Teixeira do Amaral Júnior ◽  
Valter Jário de Lima ◽  
Kátia Fabiane Medeiros Schmitt ◽  
...  
Keyword(s):  
Grain Yield ◽  
Multiple Regression ◽  
Morphological Traits ◽  
Vegetation Index ◽  
Agronomic Traits ◽  
Indirect Selection ◽  
Leaf Angle ◽  
Water Restriction ◽  
Leaf Greenness ◽  
Selection Of

The identification of traits associated with drought tolerance in popcorn is a contribution to support selection of superior plants under soil water deficit. The objective of this study was to choose morphological traits and the leaf greenness index, measured on different dates, to estimate grain yield (GY) and popping expansion (PE), evaluated in a set of 20 popcorn lines with different genealogies, estimated by multiple regression models. The variables were divided into three groups: morpho-agronomic traits—100-grain weight (GW), prolificacy (PR), tassel length (TL), number of tassel branches, anthesis-silking interval, leaf angle (FA) and leaf rolling (FB); variables related to the intensity of leaf greenness during the grain-filling period, at the leaf level, measured by a portable chlorophyll meter (SPAD) and at the canopy level, calculated as the normalized difference vegetation index (NDVI). The inbred lines were cultivated under two water conditions: well-watered (WW), maintained at field capacity, and water stress (WS), for which irrigation was stopped before male flowering. The traits GY (55%) and PE (28%) were most affected by water restriction. Among the morpho-agronomic traits, GW and PR were markedly reduced (>10%). Under dry conditions, the FA in relation to the plant stalk tended to be wider, the FB curvature greater and leaf senescence accelerated (>15% at 22 days after male flowering). The use of multiple regression for the selection of predictive traits proved to be a useful tool for the identification of groups of adequate traits to efficiently predict the economically most important features of popcorn (GY and PE). The SPAD index measured 17 days after male flowering proved useful to select indirectly for GY, while, among the morphological traits, TL stood out for the same purpose. Of all traits, PR was most strongly related with PE under WS, indicating its use in breeding programs. The exploitation of these traits by indirect selection is expected to induce increments in GY and PE.

scholarly journals Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

2021 ◽  
Vol 45 ◽  
Author(s):  
Anna Regina Tiago Carneiro ◽  
Osvaldo Toshiyuki Hamawaki ◽  
Ana Paula Oliveira Nogueira ◽  
Arthur Felipe Eustáquio e Silva ◽  
Raphael Lemes Hamawaki ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Indirect Selection ◽  
Direct Selection ◽  
Selection Strategies ◽  
Aggregate Information ◽  
Genetic Potential ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
Total Gain ◽  
Selection Of

ABSTRACT The selection indexes aggregate information to multiple characters and, with this, they are able to carry out the selection of a set of variables simultaneously. The objective was to verify the genetic potential of agronomic traits and to select soybean F3:4 progenies based on different selection strategies. 123 progenies and the parents were sown in randomized blocks with two replications. The gains of direct selection by the indexes, the sum of “ranks” and the genotype-ideotype were lower for all characters when compared to the gains of direct and indirect selection. The rank sum index stood out for achieving the highest total gain with 37.11%. The index of the genotype-ideotype obtained a lower gain (-0.48%) for the character number of days for flowering compared to the sum index of “ranks” (-0.54%) and reached a negative gain for the attribute insertion height of the first pod with -1.82%. The genetic potential of the F3:4 population is high and allows different selection strategies to be applied to reach superior genotypes. The progenies UFU 72, UFU 116, UFU 86, UFU 45, UFU 117, UFU 56, UFU 5, UFU 106, UFU 6, UFU 4, UFU 73, UFU 101, UFU 96, UFU 90, UFU 123, UFU 116, UFU 88, UFU 65, UFU 70, UFU 3, UFU 69 and UFU 37 were selected by both selection indexes. The UFU 72, UFU 90, UFU 88 and UFU 69 progenies are agronomically superior both in direct and indirect selection, as in Mulamba and Mock (1978) sum of “ranks” selections and genotype-ideotype.

scholarly journals Comparison between non-parametric indexes in the selection of biofortified curly lettuce

2020 ◽  
Vol 11 ◽  
pp. e3351
Author(s):  
Joicy Vitória Miranda Peixoto ◽  
Gabriel Mascarenhas Maciel ◽  
Ana Carolina Silva Siquieroli ◽  
Lucas Medeiros Pereira ◽  
José Magno Queiroz Luz ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Indirect Selection ◽  
Stem Diameter ◽  
Anthocyanin Content ◽  
Grand Rapids ◽  
Commercial Cultivars ◽  
Lettuce Breeding ◽  
Selection Indexes ◽  
Leaf Lettuce ◽  
Selection Of

Selection indexes can be applied to simultaneous analysis of traits, increasing the efficiency of breeding in choosing the genotypes that meet the needs of both the market and the consumer. While it is a technic applied to several cultures, there are few studies about it in lettuce lines. For this reason, the aim of this study was to comparate assess the efficiency of different selection indexes for selecting biofortifiedleaf lettuce lines with good agronomic traits. The experiment was carried out at the Estação Experimental de Hortaliças of Federal University of Uberlândia (UFU), campus Monte Carmelo, in 2018. The experiment was designed in full randomized blocks of 3 repetitions with 25 leaf lettuce genotypes (22 lines from cultivars Pira 72 versus Uberlândia 10000 and 3 commercial cultivars – cv. Grand Rapids, UFU-Biofort and Uberlândia 10000). The lines are part of the UFU biofortified lettuce breeding program and were assessed for the total green mass (g), the stem diameter (cm), commercial leaves count, plant diameter (cm), foliar temperature (°C), SPAD index, anthocyanin content (mg 100g-1 sample), and bolting (days after sowing). To estimate selection gains, 10 genotypes were selected using both direct and indirect selection, as well as the traditional index, the sum of ranks index, Willians base index, and the multiplicative index. Mulamba and Mock sum of ranks index and Subandi multiplicative index provided the biggest total gains for the traits assessed in biofortified leaf lettuce. Both indexes were similar in selecting genotypes.

Use of normalised difference vegetation index, nitrogen concentration, and total nitrogen content of whole maize plant and plant fractions to estimate yield and nutritive value of hybrid forage maize

2011 ◽  
Vol 62 (5) ◽  
pp. 374 ◽  
Author(s):  
M. R. Islam ◽  
S. C. (Yani) Garcia ◽  
D. Henry
Keyword(s):  
Grain Yield ◽  
Multiple Regression ◽  
Vegetation Index ◽  
Nutritive Value ◽  
Biomass Yield ◽  
Maize Plant ◽  
Forage Maize ◽  
Leaf Stage ◽  
Whole Plant ◽  
Normalised Difference Vegetation Index

This study was conducted to investigate the potentials of normalised difference vegetation index (NDVI), nitrogen (N) concentration (%), and N content (g/plant) of whole maize plant to estimate yield and nutritive value of hybrid forage maize. Hybrid forage maize was grown with two rates of pre-sowing fertiliser N (0, 135 kg/ha) and three rates of post-sowing fertiliser N (0, 79, 158 kg N/ha) applied at the six-leaf stage. Data on the NDVI and N (% and g/plant) of maize were collected at 2-, 3-, 6-, 8-, 12-, 16-, 18-leaf stages and at harvest. Metabolisable energy (ME) content of the whole maize plant at harvest was estimated from in vitro digestibility. Simple, polynomial, and multiple regression analyses were conducted and only the best-fit models were selected. The 8-leaf stage was found to be the most effective stage for use of the NDVI in predicting biomass yield (R2 = 0.81), grain yield (R2 = 0.72), and N (%) (R2 = 0.92) of forage maize. Nitrogen (%) at the 8-leaf stage was also best related to biomass yield (R2 = 0.88). Multiple regressions at the 3-leaf stage increased the coefficient of determination for both biomass yield and grain yield (R2 = 0.77) over the relationships obtained from N (%) of the whole plant at 2- or 3-leaf stage. The NDVI and N (%) of the whole plant at 8-leaf stage were the best predictors of yield, but failed to predict ME content of the hybrid forage maize. Multiple regression models at the 3-leaf stage were almost as effective as the NDVI and N (%) of whole maize plant at the 8-leaf stage in predicting biomass and grain yield of forage maize.

Morphological traits of stem to indirect selection of resistance to lodging in Avena sativa L

2021 ◽  
Author(s):  
Diógenes Cecchin Silveira ◽  
Simone Meredith Scheffer Basso ◽  
Luciano Antônio Ebone ◽  
Andréia Caverzan ◽  
Juliana Medianeira Machado ◽  
...  
Keyword(s):  
Avena Sativa ◽  
Morphological Traits ◽  
Indirect Selection ◽  
Selection Of ◽  
Selection Of Resistance

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 Genetic and phenotypic relationship between grain yield and components of grain yield of maize (Zea mays L.)

Genetika ◽  
2009 ◽  
Vol 41 (2) ◽  
pp. 145-154 ◽  
Author(s):  
Jan Bocanski ◽  
Zorana Sreckov ◽  
Aleksandra Nastasic
Keyword(s):  
Grain Yield ◽  
Morphological Traits ◽  
Zea Mays L ◽  
Great Influence ◽  
Inbred Lines ◽  
Economic Trait ◽  
Genetic And Phenotypic Correlations ◽  
Efficient Selection ◽  
Kernel Row Number ◽  
Selection Of

For efficient selection of grain yield, like the most importance economic trait, in regard to its on the great influence the environmental factors, has complex mode of inheritance and low heritability, is necessary to know genotypic and phenotypic coefficient of correlations between grain yield and morphological traits of the plant and ear which are influencing on the grain yield. The objective of this paper was to determine relationship between grain yield and morphological traits, in 8 inbred lines and their hybrids. Strong genetic and phenotypic correlations were found between grain yield and other studied traits, except between grain yield, on one side, and kernel row number where we found medium correlations. Between other studied traits, the highest values of genotypic and phenotypic coefficient of correlations were found between ear length and cob weight.

scholarly journals Correlations and path analysis of yield components in cowpea

2014 ◽  
Vol 14 (2) ◽  
pp. 82-87 ◽  
Author(s):  
Adriano dos Santos ◽  
Gessí Ceccon ◽  
Livia Maria Chamma Davide ◽  
Agenor Martinho Correa ◽  
Valdecir Batista Alves
Keyword(s):  
Experimental Design ◽  
Grain Yield ◽  
Vigna Unguiculata ◽  
Indirect Effects ◽  
Yield Components ◽  
Indirect Selection ◽  
Direct And Indirect Effects ◽  
Genotypic And Phenotypic Correlations ◽  
Selection Of ◽  
Multiple Character

Obtaining correlations and direct and indirect effects of yield components is important for the selection of promising parental and segregating populations. The objective of this research was to estimate the genotypic and phenotypic correlations, and to analyze the direct and indirect effects of yield components on grain yield in 20 cowpea (Vigna unguiculata) genotypes. The experimental design was in randomized blocks with 20 treatments and 4 replications. The character showed low to moderate possibility of gain from indirect selection, with greater possibility for success when joining multiple character and a genotype of better performance.

scholarly journals Aplicability of phenotypic and canonic correlations and path coefficients in the selection of oat genotypes

2006 ◽  
Vol 63 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Claudir Lorencetti ◽  
Fernando Irajá Félix de Carvalho ◽  
Antônio Costa de Oliveira ◽  
Igor Pirez Valério ◽  
Irineu Hartwig ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Direct Selection ◽  
Individual Plant ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Genetic Progress ◽  
Path Coefficients ◽  
Selection Of

Indirect selection through traits of higher heritability and of case measurements can result in larger genetic progress compared to using direct selection. This work was performed with the following objectives: (1) to estimative the phenotypic correlations between individual plant grain yield and agronomic traits of importance in the selection of white oat (Avena sativa L.) genotypes; (2) to identify traits that have the higher direct and indirect effects on grain yield; (3) to determine the intensity of association between primary and secondary components of grain yield; and, (4) to evaluate the consistency of these estimates using five oat genotypes crossed in a diallel format. The number of panicles per plant (NPP) showed to be the trait highest correlated with individual plant grain yield (GY) both through single correlations and through direct effects on grain yields. For weight of a thousand grains (WTG) <FONT FACE=Symbol>´</FONT> GY, in most crosses there was no detected association, leading to possible troubles for breeders, since larger grains were not associated to higher yield, except for the crosses UPF16 <FONT FACE=Symbol>´</FONT> UFRGS17 and UFRGS17 <FONT FACE=Symbol>´</FONT> URPel95/015. The trait number of grains per plant (NGP) was directly correlated with GY in all crosses, although the direct effects estimates on GY were negative for the crosses UPF16 <FONT FACE=Symbol>´</FONT> UPF18, UPF16 <FONT FACE=Symbol>´</FONT> URPel95/015, UPF18 <FONT FACE=Symbol>´</FONT> UFRGS17 and UFRGS7 <FONT FACE=Symbol>´</FONT> URPel95/015, indicating that correlations are not the main causes altering GY, which could be explained, in the present work, by indirect effects via NPP and mainly via panicle weight (PW).

scholarly journals Identification of Quantitative Trait Loci Hotspots Affecting Agronomic Traits and High-Throughput Vegetation Indices in Rainfed Wheat

2021 ◽  
Vol 12 ◽  
Author(s):  
Rubén Rufo ◽  
Andrea López ◽  
Marta S. Lopes ◽  
Joaquim Bellvert ◽  
Jose M. Soriano
Keyword(s):  
Abiotic Stress ◽  
Quantitative Trait Loci ◽  
Grain Yield ◽  
High Throughput ◽  
Quantitative Trait ◽  
Complex Traits ◽  
Vegetation Index ◽  
Agronomic Traits ◽  
A Genome ◽  
Trait Loci

Understanding the genetic basis of agronomic traits is essential for wheat breeding programs to develop new cultivars with enhanced grain yield under climate change conditions. The use of high-throughput phenotyping (HTP) technologies for the assessment of agronomic performance through drought-adaptive traits opens new possibilities in plant breeding. HTP together with a genome-wide association study (GWAS) mapping approach can be a useful method to dissect the genetic control of complex traits in wheat to enhance grain yield under drought stress. This study aimed to identify molecular markers associated with agronomic and remotely sensed vegetation index (VI)-related traits under rainfed conditions in bread wheat and to use an in silico candidate gene (CG) approach to search for upregulated CGs under abiotic stress. The plant material consisted of 170 landraces and 184 modern cultivars from the Mediterranean basin. The collection was phenotyped for agronomic and VI traits derived from multispectral images over 3 and 2 years, respectively. The GWAS identified 2,579 marker-trait associations (MTAs). The quantitative trait loci (QTL) overview index statistic detected 11 QTL hotspots involving more than one trait in at least 2 years. A CG analysis detected 12 CGs upregulated under abiotic stress in six QTL hotspots and 46 downregulated CGs in 10 QTL hotspots. The current study highlights the utility of VI to identify chromosome regions that contribute to yield and drought tolerance under rainfed Mediterranean conditions.

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