scholarly journals Path analysis of yield components in tropical pumpkin

1969 ◽  
Vol 90 (3-4) ◽  
pp. 183-191
Author(s):  
Miguel Espitia-Camacho ◽  
Franco A. Vallejo-Cabrera ◽  
Diosdado Baena-Garcia ◽  
Linda Wessel-Beaver
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Block Design ◽  
Genetic Correlations ◽  
Fruit Weight ◽  
Residual Effects ◽  
Path Coefficient ◽  
Direct Effects ◽  
Randomized Complete Block Design ◽  
Effect On Yield

Path coefficient analysis was carried out in tropical pumpkin (Cucurbita moschata Duchesne) for yield per plant as a function of number of fruit per plant and weight per fruit, using phenotypic and genetic correlations from two diallels: one using five varieties (variety diallel) and a second using five S1 lines derived from the varieties (line diallel). A randomized complete block design with five replications was used to evaluate 15 genotypes from each diallel, not including reciprocals. Direct effects were 300 to 500% greater than indirect effects in the line diallel. In contrast, direct effects were only 17 to 68% greater than indirect effects in the variety diallel. Effects (direct and indirect) were greater (17 to 500%) when genetic correlations rather than phenotype correlations (42 to 440%) were used in the path analysis. Fruit weight showed a greater effect on yield than did number of fruit, with values between 3.2 to 4.9 times the residual effects. Fruit weight and number of fruit can be used as selection criteria to increase yield in tropical pumpkin.  

scholarly journals Correlation and path coefficient analysis of mango (Mangifera indica L.)

2012 ◽  
Vol 37 (3) ◽  
pp. 493-503 ◽  
Author(s):  
DAN Majumder ◽  
L Hassan ◽  
MA Rahim ◽  
MA Kabir
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Significant Positive Correlation ◽  
Fruit Set ◽  
Fruit Weight ◽  
Path Coefficient ◽  
Direct Effects ◽  
Fruit Length ◽  
Positive Direct ◽  
Perfect Flower

Sixty diverse genotypes of mango were selected from the Germplasm Centre of BAU during December 2007–August 2009 to determine the genotypic and phenotypic correlation along with their direct and indirect effects through path coefficients analysis in mango as to estimate the contribution of most important characters towards yield. It appeared that in most of the cases, the genotypic correlation values were higher than their corresponding phenotypic values. This suggests that there were strong inherent relationship between the traits. Percent flowering shoot had significant positive correlation with inflorescence per shoot, percent perfect flower, percent initial fruit set, number of fruits per plant and fruit weight both at phenotypic and genotypic levels. Fruit yield is determined by some components. The residual effects of genetic and phenotypic path analysis were 0.209 and 0.385, respectively, revealed higher genetic variability and also proved lower percent of environmental influence on the selected ten characters. In genotypic path analysis, number of fruits per plant had the highest positive direct effect (0.899) on yield. Higher positive direct effects were also observed for the characters inflorescence per shoot (0.539), percent perfect flower (0.816), and percent initial fruit set (0.292), and fruit weight (0.324). Leaf area, percent flowering shoot, number of fruits per plant, and fruit length showed negative direct effects towards yield. In phenotypic path analysis, except percent flowering, shoot per plant and fruit length and other characters also exhibited similar trend on yield as genotypic path coefficient. In combination with correlation coefficient and path analysis, it was found that number of fruits per plant and percent perfect flower gave significant positive correlation coefficients with yield and also produce the high positive direct effect. Thus, it was clear that plant height, inflorescence per shoot, percent perfect flower, percent initial fruit set per inflorescence, and fruit weight are the major component of fruit yield in mango. Bangladesh J. Agril. Res. 37(3): 493-503, September 2012 DOI: http://dx.doi.org/10.3329/bjar.v37i3.12126

scholarly journals RELATIONSHIP BETWEEN YIELD AND FRUIT QUALITY OF PASSION FRUIT C03 PROGENIES UNDER DIFFERENT NUTRITIONAL LEVELS

2017 ◽  
Vol 39 (2) ◽  
Author(s):  
CARLOS LACY SANTOS ◽  
ALEXANDRE PIO VIANA ◽  
MARTA SIMONE MENDONÇA DE FREITAS ◽  
ALMY JUNIOR CORDEIRO DE CARVALHO ◽  
DANIELE LIMA RODRIGUES
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Fruit Quality ◽  
Recurrent Selection ◽  
Block Design ◽  
Fruit Weight ◽  
Passion Fruit ◽  
Phenotypic Correlation ◽  
Effect On Yield ◽  
Fruit Diameter

ABSTRACT The present study was conducted to evaluate different fertilization-management strategies in ten progenies of passion fruit from the third recurrent selection cycle and their effects on yield and fruit-quality traits. For this purpose, we adopted the strategy of correlations analysis, using the phenotypic and path correlations in different environmental conditions characterized by three levels of fertilization. The trial was set up as a randomized-block design in a split-plot arrangement with progenies representing the plots and three levels of potassium-nitrogen fertilization as the sub-plots, with three replicates. Path analysis showed that number of fruits was the variable of highest correlation with fruit diameter at fertilization I. Fruit weight and pulp weight were correlated with each other and with other traits like fruit length and fruit diameter at the three fertilization levels, except for number of fruits, which was correlated with nitrogen and potassium only at fertilization II. Path analysis also revealed that fruit diameter (3.125) showed the highest direct effect on yield at fertilization I. However, fruit weight and number of fruits showed, at fertilization II, the highest direct effects of 2.964 and 1.134 on yield, respectively, and number of fruits had a high phenotypic correlation and direct effect on yield at the three fertilization levels: 0.528 at fertilization I; 2.206 at fertilization II; and 0.928 at fertilization III. The results demonstrate the greater direct effect obtained with fertilization II, suggesting that the level adopted at fertilization II can provide satisfactory gains in yield and is thus recommended for the population in question.

scholarly journals Correlation and Path Analysis in Six Strawberry (Fragaria ananassa) Genotypes

2014 ◽  
Vol 11 (2) ◽  
pp. 74-78 ◽  
Author(s):  
A Emdad ◽  
MI Hossain ◽  
K Kabir ◽  
MS Jahan
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Block Design ◽  
Fruit Yield ◽  
Crown Height ◽  
Flower Buds ◽  
Randomized Complete Block Design ◽  
Correlation And Path Analysis ◽  
Effect On Yield ◽  
Positive Direct

A field experiment was conducted at the Horticulture Farm of Sher-e-Bangla Agricultural University, Dhaka with a view to study character association and path analysis in six strawberry genotypes. The trial was laid out in a Randomized Complete Block Design with three replications. Data on crown height, number of flower buds per plant, number of flowers per plant, number of fruits per plant, length and breadth of fruit and fruit yield per plant were collected. All the characters showed significant correlation with fruit yield. Path analysis revealed that crown height, number of flowers per plant and length of fruit had the positive direct effect on yield per plant. Number of flower buds per plant, number of fruits per plant and breadth of fruit had negative direct effect on yield per plant. DOI: http://dx.doi.org/10.3329/agric.v11i2.17491 The Agriculturists 2013; 11(2) 74-78

scholarly journals Association of Agro-Morphological and Oil Traits in Groundnut (Arachis hypogaea L.) Cultivars

2018 ◽  
Vol 6 (2) ◽  
pp. 67-74
Author(s):  
Zekeria Yusuf ◽  
Habtamu Zeleke ◽  
Wassu Mohammed ◽  
Shimelis Hussein ◽  
Arno Hugo
Keyword(s):  
Path Analysis ◽  
Oil Content ◽  
Block Design ◽  
Oil Quality ◽  
Genetic Correlations ◽  
Quality Parameters ◽  
Path Coefficient ◽  
Wet Season ◽  
Environmental Correlations ◽  
Selection For

The associations between the traits of interest in plant breeding are commonly evaluated by means of phenotypic, genotypic and environmental correlations, and through path coefficient analysis that shows direct and indirect cause and effect relationship. Sixteen groundnut genotypes (including local check) were evaluated for quantitative parameters. The crop was sown during 2015 wet season across four locations in Ethiopia. The experiment was laid out in Randomized Complete Block Design (RCBD) with two replications. The results indicated that genotypic correlations were higher than the phenotypic and environmental ones. The grain yield (kg/ha) has presented positive and significant genetic correlation with PWP, SWP and 100SW. Genetic correlations of oil content with agro-morphological traits and oil quality parameters were shown that oil content was significant and positively correlated with pod weight per plant (PWP) and seed weight per plant (SWP) showing that possibility of indirect selection for oil content through these traits. The path analysis based on genotypic correlation in the present study was shown that selection for oil content trait is effective through OY, GY, NMP and NSPOD; breeding for TPUS/TS trait is effective through selection for high oil content, NMP, PWP, AGBP, O/L ratio, and NSP traits. Furthermore, the path analysis has shown that breeding for high O/L ratio can be conducted through selection for AGBP, NSPOD, NSP, oil content, TPUS/TS or oleic acid traits; likewise breeding for oil yield (OY) can be conducted via selection for oil content, NSP, AGBP, NBP or TPUS/TS.

scholarly journals ASSOCIATIONS BETWEEN TRAITS IN FISÁLIS: A TOOL FOR INDIRECT SELECTION OF SUPERIOR PLANTS

2017 ◽  
Vol 39 (4) ◽  
Author(s):  
NICOLE TREVISANI ◽  
RITA CAROLINA DE MELO ◽  
MAURO PORTO COLLI ◽  
JEFFERSON LUÍS MEIRELLES COIMBRA ◽  
ALTAMIR FREDERICO GUIDOLIN
Keyword(s):  
Path Analysis ◽  
Pearson Correlation ◽  
Block Design ◽  
Correlation Coefficients ◽  
Indirect Selection ◽  
Fruit Weight ◽  
Physalis Peruviana ◽  
Randomized Block Design ◽  
Number Of Seeds ◽  
Fruit Diameter

ABSTRACT Knowledge about associations between traits is fundamental for plant breeding, since indirect selection can accelerate the development of promising genotypes. This study assessed the magnitude of associations between agronomically important traits in fisális (Physalis peruviana L). The experiment was conducted in Lages, Santa Catarina, and the treatments consisted of six fisális populations. The experiment was arranged in a randomized block design, with two replications and seven plants per plot. The correlations between traits were estimated based on the Pearson correlation coefficients and partitioned into direct and indirect effects through path analysis. Fruit weight was positively correlated with number of seeds (0.874), equatorial fruit diameter (0.738) and polar fruit diameter (0.672). By path analysis, number of seeds was identified as the trait with the highest direct contribution to fruit weight. The high phenotypic correlations between the equatorial and polar fruit diameters with fruit weight were mainly due to the indirect effect via number of seeds (0.505 and 0.459). The selection for heavier fisális fruits was strongly influenced by number of seeds, i.e., this trait should be taken into account for selection.

scholarly journals Residual effects of superficial liming on tropical soil under no-tillage system

2016 ◽  
Vol 51 (9) ◽  
pp. 1633-1642 ◽  
Author(s):  
Claudio Hideo Martins da Costa ◽  
Carlos Alexandre Costa Crusciol ◽  
Jayme Ferrari Neto ◽  
Gustavo Spadotti Amaral Castro
Keyword(s):  
Grain Yield ◽  
Dry Matter ◽  
Block Design ◽  
Residual Effects ◽  
Available Phosphorus ◽  
Long Term Effects ◽  
Matter Production ◽  
Randomized Complete Block Design ◽  
Tillage System

Abstract The objective of this work was to evaluate the long-term effects of the surface application of lime on soil fertility and on the mineral nutrition and grain yield of soybean, and of black oat and sorghum in crop succession. The experiment was carried out on a clayey Oxisol, in a randomized complete block design, with four replicates. Treatments consisted of lime the rates of 0, 1,000, 2,000, and 4,000 kg ha-1, applied in October 2002 and November 2004. Soil samples were collected at five soil layers, down to 0.60-m depth. Surface liming was effective in reducing soil acidity and increasing Ca2+ and Mg2+ contents in the subsurface. Moreover, it increased available phosphorus contents and soil organic matter in the long term (48 to 60 months after the last lime application). Surface liming improved plant nutrition, mainly for N, Ca, and Mg, and increased dry matter production and grain yield of the crops, even in years with regular distribution of rainfall. The greatest productivities of soybean, black oat, and sorghum were obtained with the respective estimated lime doses of 4,000, 2,333, and 3,281 kg ha-1, for shoot dry matter, and of 2,550, 3,555, and over 4,000 kg ha-1, for grain yield.

scholarly journals Effect of Zinc and Boron on Growth and Yield of Okra (Abelmoschus esculentus L.)

2020 ◽  
pp. 41-47
Author(s):  
Nusrat Jahan ◽  
Md. Ashabul Hoque ◽  
Md. Rasal-Monir ◽  
Sumya Fatima ◽  
Mohammad Nurul Islam ◽  
...  
Keyword(s):  
Dry Matter ◽  
Block Design ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Growth And Yield ◽  
Area Index ◽  
Spad Value ◽  
Randomized Complete Block Design ◽  
Number Of Leaves ◽  
Fruit Diameter

The study was carried out to find out the effect of zinc (Zn) and boron (B) on growth and yield of okra (BARI Dherosh 1). The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications. The treatments of the experiment were, T0 (without Zn or B), T1 (20 kg Zn ha-1), T2 (30 kg Zn ha-1), T3 (10 kg B ha-1), T4 (20 kg B ha-1), T5 (20 kg Zn ha-1 + 10 kg B ha-1), T6 (20 kg Zn ha-1 + 20 kg B ha-1), T7 (30 kg Zn ha-1 + 10 kg B ha-1) and T8 (30 kg Zn ha-1 + 20 kg B ha-1) were undertaken to evaluate the best results of the study. The highest plant height was found in T8 (30 kg Zn ha-1 + 20 kg B ha-1) but the highest number of leaves plant-1 was recorded from T7 (30 kg Zn ha-1 + 10 kg B ha-1). On the other hand, the maximum leaf area index, SPAD value, mean fruit weight, fruit length, fruit diameter, fruit dry matter (%), number of fruits plant-1, fresh fruit weight plant-1 , fruit yield plot-1 and fruit yield ha-1 were found in T7 (30 kg Zn ha-1 + 10 kg B ha-1), while the control (T0) showed lowest performance for the respected parameters. It is strongly concluded that 30 kg Zn ha-1 with 10 kg B ha-1 combination may be helpful for okra cultivation in the field level to increase okra production.

scholarly journals Evaluation of nitrogen (Urea) on Zea mays L. under Balkh province climate

2020 ◽  
Vol 3 (1) ◽  
pp. 6-9
Author(s):  
Nasratullah Habibi ◽  
Friba Sikandari
Keyword(s):  
Zea Mays ◽  
Nitrogen Fertilizer ◽  
Yield Components ◽  
Zea Mays L ◽  
Agricultural Research ◽  
Block Design ◽  
High Yield ◽  
Randomized Complete Block Design ◽  
Yield And Yield Components ◽  
Effect On Yield

An experiment was conducted to evaluate effect of urea fertilizer on yield and yield components of Zea mays L. Using Randomized Complete Block Design (RCBD) split plots in three replications in agricultural research farm of Balkh University by 2019. Doses of urea used in this experiment were 0, 80, 160 and 240 kg ha-1 , respectively. It has been found that amount of nitrogen fertilizer (urea) had significant effect on yield of maize at p<0.05. The higher level of nitrogen caused the higher grain yield, number of kernels per ear, the number of grains per ear row, ear diameter, cob length, grain per plant and plant height. As a result 7.76 ton ha-1 was recorded as high yield while 240 kg ha-1 urea was used, and 5.12 ton ha-1 was recorded as low yield in treatment one with 0 kg ha-1 of nitrogen fertilizer. Finally, as a result using 240 kg ha-1 nitrogen fertilizer is recommended.

scholarly journals Evaluation of Sweet Pepper (Capsicum annum L.) Varieties as Influnced by Nitrogen Levels in Chitwan, Nepal

2020 ◽  
Vol 14 (1) ◽  
pp. 33-42
Author(s):  
Santosh Lohani ◽  
Moha Dutta Sharma ◽  
Shree Chandra Shah ◽  
Arjun Kumar Shrestha
Keyword(s):  
Block Design ◽  
Total Yield ◽  
Growth Yield ◽  
Sweet Pepper ◽  
Fruit Weight ◽  
Chemical Fertilizer ◽  
Nitrogen Levels ◽  
Randomized Complete Block Design ◽  
Number Of Leaves ◽  
Better Than

An experiment was conducted to assess the performance of sweet pepper varieties as influenced by nitrogen levels from August 2014 to February 2015 at Mangalpur, Chitwan. The experiment was laid out in two factorial Randomized Complete Block Design (RCBD) with three replications having sixteen treatments. Varieties and levels of nitrogen significantly affected growth, yield and qualitative parameters of fruits. Hybrid Indra and NS 632 performed better than open pollinated varieties viz. Sagar and California Wonder. Days to fifty percent flowering of NS 632 were earlier than California Wonder. Indra variety had the highest plant height (52.18 cm), number of secondary branches per plant (13.51) from 250 kg N/ha through chemical fertilizer while number of leaves per plant was higher in NS 632 variety (57.22) than Sagar variety (47.37). Indra variety showed the highest fruit weight (87.59 g) and total yield (39.45 t/ha) but NS 632 variety produced more number of fruits per plant (9.25) than California Wonder variety. This study showed that sweet pepper yield of hybrid varieties applied with 250 kg N/ha through chemical fertilizer was appropriate dose to get optimum yield under Chitwan condition.

scholarly journals Diversity of capsaicin content, quantitative, and yield components in chili (Capsicum annuum) genotypes and their F1 hybrid

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
Zulfikar D Sahid ◽  
MUHAMAD SYUKUR ◽  
AWANG MAHARIJAYA
Keyword(s):  
Genetic Diversity ◽  
Capsicum Annuum ◽  
Block Design ◽  
Genetic Material ◽  
Morphological Characters ◽  
Fruit Weight ◽  
Yield Component ◽  
Quantitative Yield ◽  
F1 Hybrid ◽  
Randomized Complete Block Design

Abstract. Sahid ZD, Syukur M, Maharijaya A. 2020. Genetic diversity of capsaicin content, quantitative, and yield component in chili (Capsicum annuum) and their F1 hybrid. Biodiversitas 21: 2251-2257. Chili (Capsicum annuum L.) is one of the horticultural plants that have many benefits. The benefit of chili was determined by pungency level of its fruit. Pungency level of the chili is due to the capsaicin content in fruit. Information about the genetic diversity of capsaicin is still rarely available. The aims of this study were to obtain diversity information on quantitative, yield component, and capsaicin content, and to analyze the correlation among chili genotypes based on their morphological characters. This study used Randomized Complete Block Design with three replications. The genetic material used in this study consisted of 21 genotypes consisting of 6 genotypes of chili elders and 15 hybrid F1 genotypes resulting from their crossing. Six genotypes of the chili parents are C5, F6074, F9160291, Yuni, Bara, and Giant. 15 hybrid F1 genotypes used in this study are C5 x Bara, C5 x F6074, C5 x Yuni, C5 x Giant, C5 x F9160291, Bara x F6074, Bara x Yuni, Bara x Giant, Bara x F9160291, F6074 x Yuni, F6074 x Giant, F6074 x F9160291, Yuni x Giant, Yuni x F9160291, and Giant x F9160291. The observation was made on the variables of quantitative, yield, and capsaicin components on chili. The results showed that the highest capsaicin content only was found in Bara x F9160291. The results of scatterplot analysis showed that the highest capsaicin and yield component was found in BaraxF6074 and C5 x Yuni genotype. The results of cluster analysis showed that chili was clustered into three color groups. The character of capsaicin content is negatively correlated and very different from fruit weight, fruit diameter, fruit length, thick fruit flesh, total amount of fruit per plant, and fruit weight per plant.

Sign in / Sign up

Export Citation Format

Share Document