scholarly journals Grain Yield and Its Associations With Pre-harvest Sprouting in Wheat

2019 ◽  
Vol 11 (4) ◽  
pp. 142
Author(s):  
Alexsander Rigatti ◽  
Daniela Meira ◽  
Tiago Olivoto ◽  
Carine Meier ◽  
Maicon Nardino ◽  
...  
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Block Design ◽  
Direct And Indirect Effects ◽  
Environmental Correlations ◽  
Randomized Block Design ◽  
Positive Direct ◽  
Lower Tolerance

This study aimed to evaluate direct and indirect effects of agronomic traits importance on grain yield with focus in pre-harvest sprouting. Experiment was conducted in 2017 crop season, and conducted in a randomized block design, with three replications, with eight wheat cultivars (BRS Sábia, CD 105, CD 1104, CD 1440, Frontana, Jadeíte 11, Mirante and ORS Vintecinco). Grain yield and its components were evaluated, as well as other important traits such as pre-harvest sprouting. Data were submitted to variance analysis; and phenotypic, genotypic and environmental correlations were estimated to understand grain yield expression, direct and indirect effects of its components were evaluated through path analysis. Cultivar BRS Sabiá showed shorter cycle, cultivar CD 1104 was highlighted in number of spikes per area, hectoliter weight and grain yield. And cultivars Frontana, CD 1440 and ORS Vintecinco presented the best tolerances pre-harvest sprouting. Grain yield showed high and positive phenotypic and genotypic correlations with number of ears per square meter. Furthermore, high positive direct effect of pre-harvest sprouting on grain yield, revels lower tolerance for cultivars with high grain yield. Number of spikes per square meter showed intermediate and positive direct effect and pre-harvest sprouting had the greatest direct effect on grain yield.

scholarly journals Contribution of nitrogen on industrial quality of oat grain components and the dynamics of relations with yield

2021 ◽  
pp. 334-342
Author(s):  
Rubia Diana Mantai ◽  
José Antonio Gonzalez da Silva ◽  
Ivan Ricardo Carvalho ◽  
Francine Lautenchleger ◽  
Roberto Carbonera ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Food Industry ◽  
Block Design ◽  
Direct And Indirect Effects ◽  
Relationship Dynamics ◽  
Randomized Block Design ◽  
Oat Cultivars ◽  
Nitrogen Rates

Understanding the magnitude of contribution and relationships of industrial quality components to yield by nitrogen stimulation can drive strategies with benefits to the food industry. The objective of this study is to measure and interpret the contribution and relationship dynamics of the components of oat industrial quality with grain and industry yield by nitrogen stimulation, partitioning the correlation values in direct and indirect effects by path diagnosis, in proposing strategies that promote benefits to the food industry. The study was conducted from 2011 to 2016, in a randomized block design with four replications in 4x2 factorial for nitrogen rates (0, 30, 60 and 120 kg ha-1) and oat cultivars (Barbarasul and Brisasul) in separate environments soybean/oat and corn/oat succession system. The increase of nitrogen promoted greater change in the mass of caryopsis in soybean/oat system and the thousand grain mass and number of grains greater than 2 mm in corn/oat system, with a tendency of reduction. In soybean/oat system, grain and industry yields can be simultaneously incremented by direct increase via one thousand grain mass and indirect increase by caryopsis mass. In corn/oat system the grain yield does not show any relationship with industrial quality variables. However, the industral productivity is benefited by the increase of the number of grains larger than 2 mm. The management proposition in the improvement of the grain and industry productivity characteristics by nitrogen is dependent on the high succession and reduced N-residual release systems

scholarly journals GENETIC VARIABILITY, CHARACTER ASSOCIATION AND PATH ANALYSIS OF YIELD AND ITS COMPONENT TRAITS IN MAIZE (Zea mays L.)

2016 ◽  
Vol 29 (1) ◽  
pp. 21-30
Author(s):  
M. N. Huda ◽  
M. S. Hossain ◽  
M. Sonom
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Direct Effect ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Male Flower ◽  
Maize Genotypes ◽  
Positive Direct

The experiment was conducted in the experimental area of Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka during March to June, 2014 to study the genetic variability, correlation and path co-efficient analysis for yield and yield contributing characters of maize. In this experiment 25 maize genotypes were used as experimental materials. The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications. Mean performance, variability, correlation matrix and path analysis on different yield contributing characters and yield of maize genotypes were estimated. The highest grain yield/plant (272.21 g) was recorded in the genotype of BARI Hybrid Maize-6, whereas the lowest grain yield/plant (180.40 g) from the genotype of NZ-003. Phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the yield contributing traits. In correlation study, significant positive association was recorded for grain yield/plant of maize genotypes with plant height (0.235), tassel height (0.359), number of grains/cob (0.854), cob length (0.390), cob diameter (0.313) and weight of 1000-grains (0.689). Path analysis revealed that days to initiation of male flower had positive direct effect (0.132), days to initiation of female flower had negative direct effect (-0.254), days to maturity had positive direct effect (0.178), plant height had positive direct effect (0.314), tassel height had positive direct effect (0.234), ear length had positive direct effect (0.197), number of grains/cob had negative direct effect (-0.095), cob length had positive direct effect (0.167), cob diameter had positive direct effect (0.168) and that weight of 1000-grains had positive direct effect (0.217) on yield / plant.

scholarly journals GREEN BEAN YIELD AND PATH ANALYSIS IN COWPEA LANDRACES

2016 ◽  
Vol 29 (4) ◽  
pp. 866-877 ◽  
Author(s):  
THAISY GARDÊNIA GURGEL DE FREITAS ◽  
PAULO SÉRGIO LIMA E SILVA ◽  
JÚLIO CÉSAR DOVALE ◽  
EDICLEIDE MACÊDO DA SILVA
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Block Design ◽  
Green Bean ◽  
Northeast Brazil ◽  
Randomized Block Design ◽  
Grain Yield Components ◽  
Bean Yield ◽  
Positive Direct ◽  
Positive Effect

ABSTRACT Cowpea (Vigna unguiculata (L.) Walp.) is widely cultivated in northeast Brazil for production of both green grains and dry grains. Green grains are cowpea grains with a 60 to 70% moisture content that are very appreciated by the local people. The cultivation of cowpea in northeast Brazil is performed mostly using landraces and the low yields achieved in some areas of that region are generally attributed to the cultivation of less productive landraces. The objectives of this research were to identify the best landraces in terms of green bean yield and the characters that hold the most positive direct effects on this yield via path analysis. Twelve landraces of undetermined growth were evaluated in two experiments conducted in Mossoró, Brazil. The first experiment (E1) was sprinkler-irrigated and the second (E2) was conducted under rainfed conditions, but was irrigated whenever necessary. Pod yield and dimensions and green grains were evaluated, in addition to the main grain yield components. A randomized block design with five replications was used. The data presented here identified eight landraces with the highest yields. In addition, cowpea yield was higher in the dry season (E1) than in the rainy season (E2). The number of pods per plant had the largest direct positive effect on green grain yield.

scholarly journals Path analysis of iron and zinc contents and others traits in cowpea

2012 ◽  
Vol 12 (4) ◽  
pp. 245-252 ◽  
Author(s):  
Jeane de Oliveira Moura ◽  
Maurisrael de Moura Rocha ◽  
Regina Lúcia Ferreira Gomes ◽  
Francisco Rodrigues Freire Filho ◽  
Kaesel Jackson Damasceno e Silva ◽  
...  
Keyword(s):  
Grain Size ◽  
Grain Yield ◽  
Path Analysis ◽  
Protein Content ◽  
Indirect Effects ◽  
Zinc Content ◽  
Direct Selection ◽  
Direct And Indirect Effects ◽  
Iron And Zinc ◽  
Positive Direct

The objective of this study was to estimate the direct and indirect effects of agronomic and culinary traits on iron and zinc contents in 11 cowpea populations. Correlations between traits were estimated and decomposed into direct and indirect effects using path analysis. For the study populations, breeding for larger grain size, higher number of grains per pod, grain yield, reduced cooking time, and number of days to flowering can lead to decreases in the levels of iron and zinc in the grain. Genetic gains for the iron content can be obtained by direct selection for protein content by indirect effects on the number of grains per pod, 100-grain weight and grain yield. The positive direct effect of grain size and protein content on the zinc content indicates the possibility of simultaneous gain by combined selection of these traits.

scholarly journals Stomatal Traits and Barley (Hordeum Vulgare L.) Forage Yield in Drought Conditions of Northeastern Mexico

Plants ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1318
Author(s):  
Foroughbakhch Pournavab Rahim ◽  
Torres Tapia María Alejandra ◽  
Zamora Villa Víctor Manuel ◽  
Treviño Ramirez José Elías ◽  
Ngangyo Heya Maginot
Keyword(s):  
Indirect Effects ◽  
Vegetation Index ◽  
Block Design ◽  
Forage Yield ◽  
Effect Of Temperature ◽  
Direct And Indirect Effects ◽  
Direct Effects ◽  
Lower Side ◽  
Infrared Technology ◽  
Positive Direct

Infrared technology is a practical, fast, non-destructive method that helps in forecasting plant development and can be used to select physiological traits, instead of other methodologies that require more time and breeding efforts. According to the statistical analyses and the relationship between the direct and indirect effects of the variables, this technology could serve as the basis for implementing a genotype selection methodology. Awnless barley was assessed in a randomized block design with three replicates in two crop seasons at Mexico’s northeastern region. Two samplings were carried out during crop development: at 75 and 90 days after sowing. The infrared and stomatal sensors were used to identify the direct and indirect effects of stomata’s traits on dry forage yield. The data were analyzed in a subdivided plot design, using mean comparison tests, correlation coefficients and path analyses, finding significant differences (p < 0.05) among localities and among samplings. Dry forage yield was significant and positively correlated with plant height (r = 0.578) and canopy temperature (r = 0.724), and negatively correlated with the leaf upper side stomatal width (r = −0.409) and the leaf lower side stomatal width (r = −0.641), chlorophyll content and vegetation index. Temperature, chlorophyll, density and leaf lower side stomatal index had the strongest direct effects on yield. Therefore, the infrared technology appears as a way to select high yielding awnless forage barley, to obtain the correlation, the positive direct effect of temperature and the negative effect of chlorophyll. Due to their direct effects, low density and low leaf underside stomatal indexes can also help in the indirect selection of higher yielding forage barley genotypes.

scholarly journals Sorption of oxadiazon in soils cultivated in the brazilian cerrado

2014 ◽  
Vol 32 (1) ◽  
pp. 215-225
Author(s):  
K.F. Mendes ◽  
M.R. Reis ◽  
A.A. Pereira ◽  
A.R.S. Nunes ◽  
C.E.M. Santos ◽  
...  
Keyword(s):  
Indirect Effects ◽  
Pearson Correlation ◽  
Block Design ◽  
Magnesium Content ◽  
Experimental Unit ◽  
Chemical Characteristics ◽  
Dry Matter Accumulation ◽  
Direct And Indirect Effects ◽  
Brazilian Cerrado ◽  
Randomized Block Design

The objective of this study was to evaluate oxadiazon sorption in different soils of the Brazilian Cerrado, highlighting the correlations of lethal doses of this herbicide capable of inhibiting 50% of the dry matter accumulation of the bio-indicator (LD50) among the chemical characteristics of the soil and its direct and indirect effects. The experiment was carried out in a greenhouse in a randomized block design and four repetitions. Each experimental unit consisted of a pot with increasing rates of oxadiazon and oat (Avena sativa), as the bio-indicator species. For sorption evaluation, washed sand and 22 soils (substrates) from Cerrado Brazilian's Alliaceae cultivated areas were used. LD50 and sorption ratio (SR) = [(LD50soil - LD50sand)/LD50sand] to the substrates were determined. Pearson correlation analysis was performed between the chemical characteristics of the substrates and the LD50 of oxadiazon. A path analysis was quantified, to deploy only the significant correlations estimated in direct and indirect effects of the characters on LD50, which is a basic variable. A more pronounced LD50 (528.09 g ha-1) for the Cerrado soil sample resulted in higher SR (> 53.00), while in the washed sand substrate, LD50 corresponded only to 9.74 g ha-1 of the oxadiazon (available in soil). It was concluded that oxadiazon sorption is influenced by the chemical characteristics of the soils, highlighting the correlation with pH (CaCl2), magnesium content, aluminum, organic matter, organic carbon, and aluminum saturation.

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 Correlations and path analysis for fruit yield in pepper lines (Capsicum chinense L.)

2018 ◽  
Vol 8 (2) ◽  
pp. 247-255
Author(s):  
Renato Silva Soares ◽  
Hellismar Wakson da Silva ◽  
Willame Dos Santos Candido ◽  
Luís Sérgio Rodrigues Vale
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Agronomic Traits ◽  
Selection Process ◽  
Selection Index ◽  
High Yield ◽  
Direct Selection ◽  
Direct And Indirect Effects ◽  
Environmental Correlations ◽  
Highly Correlated

Information regarding the correlation between characters are of great importance to simultaneous traits selection in breeding programs. However, quantification and interpretation of the correlations magnitude do not imply in direct and indirect effects. In this context, the path analysis is presented as an alternative and viable tool for the selection process. The objective of this study was to evaluate the phenotypic, genotypic and environmental correlations between eight major agronomic characters in pepper lines (C. chinense L.) and its consequences in direct and indirect effects by path analysis. Eight agronomic traits were assessed under field conditions in 22 C. chinense L lines. According to the results, there is a genetic variability among the evaluated lines, whose yield per plant (PY) and total number of fruits (NF) variables are highly correlated with high direct effect on pepper lines yield. The selection of pepper lines with high yield can be accomplished through direct selection or using a suitable selection index, being advantageous to select lines with other characteristics, such as appropriate scion height and diameter for conducting manual and mechanized harvesting. The use of the constant k is efficient to reduce the variance of path coefficients, providing better estimation of the effects that affects yield.

Correlation and Path Analysis Studies for Various Yield and Component Traits in the Segregating Generations of Blackgram [Vigna mungo (L). Hepper]

2021 ◽  
Author(s):  
Rhitisha Sood ◽  
R.K. Mittal ◽  
V.K. Sood ◽  
Shailja Sharma
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Block Design ◽  
Positive Association ◽  
Direct And Indirect Effects ◽  
Legume Crop ◽  
Component Traits ◽  
Biological Yield ◽  
Correlation And Path Analysis ◽  
Positive Direct

Background: Blackgram despite of being a highly nutritious and short duration legume crop, it is not cultivated on large scales due to many constraints. Considering this, the research was aimed to develop blackgram genotypes with wider adaptability, genetic variability and high yielding potential by studying nature and magnitude of association among yield and related traits for effective production. Methods: The present investigation was carried out at Experimental Farm of the Department of Genetics and Plant Breeding, College of Agriculture, CSK HPKV, Palampur (H.P.) to assess the character association and direct and indirect effects among yield and related traits in 14 crosses and ten parents for 11 quantitative characters during Kharif 2018 and 2019 in randomized complete block design with three replications. Result: Correlation studies highlighted that seed yield per plant had significant and positive association with pods per plant, biological yield per plant, pod length, plant height and 100 seed-weight at genotypic and phenotypic levels in both generations. Study of path analysis revealed that biological yield per plant and pods per plant exhibited maximum positive direct and indirect effects to the total association between yield and other component traits in both the generations. These traits could be suggested as best selection indices on priority basis which would be commendable to improve the performance of genotypes during breeding programme.

scholarly journals GRAIN YIELD AND PATH ANALYSIS IN THE EVALUATION OF COWPEA LANDRACES

2019 ◽  
Vol 32 (2) ◽  
pp. 302-311
Author(s):  
THAISY GARDÊNIA GURGEL DE FREITAS ◽  
PAULO SÉRGIO LIMA E SILVA ◽  
JÚLIO CÉSAR DOVALE ◽  
ÍTALO NUNES SILVA ◽  
EDICLEIDE MACEDO DA SILVA
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Rainy Season ◽  
Genetic Improvement ◽  
Block Design ◽  
Dry Season ◽  
Staple Food ◽  
Total Absence ◽  
Randomized Block Design ◽  
Cowpea Varieties

ABSTRACT Cowpea is a staple food in the Northeast of Brazil, thus, genetic improvement of this species is important. Samples of cowpea landraces were collected in the State of Rio Grande do Norte, Brazil, and the most promising ones were evaluated in the present study. The objective was to identify the most productive varieties and the characteristics that have greater direct effect on grain yield, for breeding purposes. Twelve landraces were evaluated using a randomized block design with five replications, in two experiments-one in the dry season, and other in the rainy season. However, water irrigation was used in both experiments, due to the almost total absence of rainfall in the rainy season. The Baraúna, and Carnaubais cowpea varieties were the most productive in both experiments. Campo Grande was the best variety found in the experiment carried out in the dry season. José da Penha, Lagoa de Pedra, Umarizal, and Upanema were the best varieties in the experiment carried out in the rainy season. The number of pods per plant was the characteristic that had greater direct effect on grain yield.

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