scholarly journals Korelasi dan Analisis Lintas Antara Karakter Agronomi dengan Hasil pada Pinang Emas (Areca catechu L.) [Correlation and Path Analysis Between Agronomy Characters of Pinang Emas (Areca catechu L.) with Yield ]

Buletin Palma ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
NFN Miftahorrachman ◽  
Sukmawati Mawardi ◽  
Ismail Maskromo
Keyword(s):  
Correlation Analysis ◽  
Path Analysis ◽  
Selection Criterion ◽  
Mass Selection ◽  
Positive Mass ◽  
Simple Correlation ◽  
North Sulawesi ◽  
Areca Catechu ◽  
Correlation And Path Analysis ◽  
Selection Of

<pre>Pinang Emas is a new high yielding variety of arecanut, is resulted from positive mass selection of arecanuts population in Kota Kotamobagu, North Sulawesi Province. The study was purposing to estimate the correlation between vegetative, generative and fruit  component characters to yield of Pinang Emas. The research was conducted in The Kayuwatu Experimental Garden, Indonesia Coconut Palm Research Institue, North Sulwesi, from January to December 2018. Path analysis of 21 characters using formula of Singh and Chaudary. The results of simple correlation analysis produce 25 relationships, most of which are relationships among the fruit component characters and there is no correlation with the number of fruits per bunch (JBT). The results of a simple correlation analysis resulted in 25 relationships, most of which were relationships between fruit component characters and there was no correlation with the number of fruits per bunch (JBT). Path analysis of six characters of fruit component showed only character of polar length of unhusked fruit (PPBTS) has direct effect to weight of fruit with value of r= 0.56 and indirect effect of BBBTS through PPBTS caharacter. The benefit of this research is that the character of PPBTS can be used as a selection criterion for the improvement of the production of Pinang Emas.</pre><p align="center"><strong><br /></strong></p><p align="center"><strong><br /></strong></p><p align="center"><strong>ABSTRAK</strong></p><p>Pinang Emas merupakan varietas unggul baru pinang,  sebagai hasil seleksi massa positif dari tetua yang berasal dari Kota Kotamobagu, Sulawesi Utara. Penelitian ini bertujuan untuk mengetahui korelasi antara karakter vegetatif, generatif dan komponen buah dengan produksi buah varietas Pinang Emas. Penelitian ini dilaksanakan di Kebun Percobaan Kayuwatu, Balai Penelitian Tanaman Palma, Sulawesi Utara, mulai bulan  Januari sampai Desember 2018. Analisa sidik lintas 21 karakter vegetatif, generatif serta komponen buah terhadap karakter jumlah buah per tandan menggunakan rumus dari Singh dan Chaudary. Hasil analisis korelasi sederhana menghasilkan 25 hubungan, sebagian besar adalah hubungan antar karakter komponen buah dan tidak terdapat korelasi dengan jumlah buah per tandan (JBT). Hasil analisis sidik lintas tujuh karakter komponen buah, hanya karakter panjang polar buah tanpa sabut (PPBTS) yang berpengaruh langsung terhadap berat buah utuh (BBU) dengan nilai r=0.56, dan pengaruh tidak langsung karakter BBBPTS melalui karakter PPBTS. Manfaat penelitian ini adalah karakter PPBTS dapat dijadikan kriteria seleksi untuk perbaikan produksi Pinang Emas.</p><p align="center"> </p><pre> </pre>

scholarly journals Korelasi dan Sidik Lintas Dua Belas Karakter Vegetatif, Generatif dan Komponen Buah Kelapa Dalam Odeska Lobu [Correlation and Path Analysis of Twelve Vegetative, Generative, and Fruit Component Characters of Odeska Lobu Coconut]

Buletin Palma ◽  
2019 ◽  
Vol 20 (2) ◽  
pp. 83
Author(s):  
NFN Miftahorrachman ◽  
Meity Tulalo ◽  
Elsje Tenda ◽  
Jeanette Kumaunang ◽  
Yulianus R Matana
Keyword(s):  
Correlation Analysis ◽  
Path Analysis ◽  
Indirect Effects ◽  
Seed Weight ◽  
Selection Criteria ◽  
Morphological Characters ◽  
Simple Correlation ◽  
North Sulawesi ◽  
Absolute Requirement ◽  
Correlation And Path Analysis

<p>The use of quality and certified seeds is an absolute requirement in the construction of the seed garden of coconut plant. Lobu tall coconut is one of the potential coconuts owned by North Sulawesi Province. The research was conducted  in Lobu Village, Touluwaan District, Southeast Minahasa Regency, North Sulawesi Province from 2016 to 2018. The purpose of the study was to determine the characters that directly have an impact on the yield using path analysis based on Singh and Chaudary Formula on twelve morphology characters using programme of R i386 3.5.2 <em>package Agricole software</em>. The results of a simple correlation analysis show that there is no relationship between morphological characters and number of fruits, but correlates with the weight of whole fruit. The results of the path analysis showed that only the seed weight character had a direct effect on the weight of whole fruit (r = 0.53) and there were no indirect effects. Seed weight characters can be used as a selection criteria of mother palms to increase coconut productivity of Odeska Lobu coconut.</p><p align="center"><strong>ABSTRAK</strong></p><p>Penggunaan benih berkualitas dan bersertifikat merupakan syarat mutlak dalam pembangunan kebun induk tanaman kelapa. Kelapa Dalam Odeska Lobu merupakan salah satu kelapa potensial yang dimiliki daerah Provinsi Sulawesi Utara. Kegiatan dilakukan di Desa Lobu, Kecamatan Touluwaan, Kabupaten Minahasa Tenggara, Provinsi Sulawesi Utara, mulai tahun 2016 sampai dengan tahun 2018, untuk mengetahui karakter-karakter yang berpengaruh langsung terhadap hasil, dilakukan dengan menggunakan analisis sidik lintas berdasarkan formula Singh dan Chaudary terhadap dua belas karakter vegetatif, generatif, dan komponen buah menggunakan program <em>software </em>R i386 3.5.2 <em>package Agricole</em>. Hasil analisis korelasi sederhana menunjukkan tidak terdapat hubungan antara karakter morfologi dengan karakter hasil jumlah buah, tapi berkorelasi dengan karakter hasil berat buah utuh. Hasil analisis lintas menunjukkan hanya karakter berat biji yang berpengaruh langsung terhadap berat buah utuh (r = 0.53) dan tidak terdapat pengaruh tidak langsung. Karakter berat biji dapat dimanfaatkan sebagai kriteria seleksi pohon tetua sebagai sumber benih untuk meningkatkan produktivitas kelapa Dalam Odeska Lobu. </p>

Genetic variability, principal component and cluster analyses in black gram under Foot-hills conditions of Manipur

2018 ◽  
Author(s):  
M. Samuel Jeberson ◽  
K. S. Shashidhar ◽  
Amit Kumar Singh
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Quantitative Traits ◽  
Principal Component ◽  
Yield Attributes ◽  
Eigen Values ◽  
Correlation And Path Analysis ◽  
And Cluster Analysis ◽  
100 Seed Weight ◽  
Selection Of

Analysis of genetic variability, heritability, correlation, path analysis, principal component and cluster analysis was carried for 25 blackgram genotypes grown in the foothills of Manipur. The results showed that phenotypic coefficients of variability recorded were higher than the genotypic coefficients of variability, irrespective of traits, demonstrating the effect of environment thereon. The present study revealed that the heritability (bs) estimates were maximum (>50%) for the traits such as days taken to attain the 50% flowering, number of clusters/plant, number of pods/plant and 100 seed weight. The correlation and path analysis proved the selection of the yield attributes in blackgram based on the characters, viz., number of pods/plant and number of cluster/plants. The first three principal components, having the Eigen values more than 1, contributed 84.52% towards variability among the 25 genotypes screened for quantitative traits. Based on the average linkage, 25 genotypes were grouped into five (5) clusters.

scholarly journals Phenotypic correlations and path analysis for plant architecture traits and grain production in three generations of cowpea

Revista CERES ◽  
2016 ◽  
Vol 63 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Hugo Leonardo Coelho Ribeiro ◽  
Carlos Antônio Fernandes Santos ◽  
Laerte da Silva Diniz ◽  
Layana Alves do Nascimento ◽  
Edna Deodato Nunes
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Architecture ◽  
Statistical Significance ◽  
Phenotypic Correlation ◽  
Cowpea Cultivars ◽  
Phenotypic Correlations ◽  
Three Generations ◽  
Correlation And Path Analysis ◽  
Selection Of

ABSTRACT The objective of this study was to analyze the phenotypic correlation and path analysis of traits related to plant architecture, earliness and grain yield in F2, BC1 and BC2 generations, from crosses between cowpea cultivars BRS Carijó and BR14 Mulato. Most phenotypic correlations of the examined traits were concordant in statistical significance, with approximate values among the examined generations. For the trait seed weight, significant and positive phenotypic correlations were observed in the three generations only for the trait number of secondary branches. The values of the direct effects were in agreement with the values of the phenotypic correlations, which indicate true association by the phenotypic correlation among the traits of grain yield examined. Path analysis indicated that the selection of productive plants will result in early plants and an increased number of secondary branches. In F2, plants with shorter length of the main branch and shorter length of secondary branches can be obtained. The causal model explained 15 to 30% of the total variation in grain weight in relation to the traits examined. The analyses indicated the possibility of selecting plants with a higher and early grain yield, shorter length of primary branches and lower number of nodes, which are important variables for mechanical or semi-mechanical harvesting.

scholarly journals Correlation and Path Analysis in Sunflower (Helianthus annuus L.)

Helia ◽  
2015 ◽  
Vol 38 (63) ◽  
pp. 201-210 ◽  
Author(s):  
Biljana Gjorgjieva ◽  
Ilija Karov ◽  
Sasa Mitrev ◽  
Natalija Markova Ruzdik ◽  
Emilija Kostadinovska ◽  
...  
Keyword(s):  
Path Analysis ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Block Design ◽  
Oleic Acid Content ◽  
Seed Length ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Selection Of

AbstractThis study was carried out to determine the correlation between agronomic traits and seed yield of sunflower hybrids and also to determine the direct and indirect effects of analyzed traits on seed yield. The primary task in sunflower breeding programs is to increase the seed yield, as well as create new hybrids with high potential for seed and oil yield. The experiment was set up according to randomized block design during two growing seasons (2013 and 2014), on research area of the Faculty of Agriculture, “Goce Delchev” University – Shtip, in Ovche Pole locality, Republic of Macedonia. As an experimental material 20 sunflower hybrids were used. 1,000 seed weight, seed length and width, oil content, oleic acid content and seed yield were analyzed. 1,000 seed weight showed positive and significant correlation with seed width, seed length and seed yield. On the other hand, negative and significant correlation was obtained between 1,000 seed weight and oil content. 1,000 seed weight expressed the highest positive direct effect on seed yield. The results obtained from correlation and path analysis showed that the efficiency in the selection of seed yield in sunflower hybrids should increased through the selection of 1,000 seed weight.

Wood Structure of the Rosaceae in Relation to Ecology, Habit and Phenology

IAWA Journal ◽  
1992 ◽  
Vol 13 (3) ◽  
pp. 307-349 ◽  
Author(s):  
Shu-Yin Zhang ◽  
Pieter Baas ◽  
Marinus Zandee
Keyword(s):  
Principal Component Analysis ◽  
Phylogenetic Analysis ◽  
Correlation Analysis ◽  
Path Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Distribution Area ◽  
Wood Structure ◽  
Simple Correlation ◽  
Entire Distribution

Twelve wood anatornical characters, together with broad parameters from ecology, habit and phenology were subjected to simple correlation analysis, path analysis and principal component analysis, in a total sampie of over 470 specimens belonging to 271 species of the Rosaceae from the entire distribution area of the farnily. The functional, developmental and systematic implications of the resulting relations are discussed. Based on the present analysis of ecological trends and previous phylogenetic analysis, a tentative scenario for the evolution of the Rosaceae is offered.

scholarly journals Evaluation of bunch quality components in Dura x Dura progenies of Zambia and Camaroon sources of oil palm germplasm

2021 ◽  
Vol 42 (6) ◽  
pp. 1567-1677
Author(s):  
A. Pedapati ◽  
◽  
R.K. Mathur ◽  
G. Ravichandran ◽  
B.K. Babu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Path Analysis ◽  
Oil Palm ◽  
Principal Component ◽  
Analysis Data ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation ◽  
Selection Of

Aim: The present study was conducted to evaluate oil palm dura progenies developed from Zambia and Cameroon germplasm sources for bunch components for the selecting of high oil yielding mother palms. Methodology: Total 77 dura genotypes were evaluated by considering 15 different bunch components. Bunch analysis data were collected from tenth year onwards after planting. The genetic diversity, Principal component analysis, correlation and path analysis of the genotypes were estimated. Results: Study revealed that oil-to bunch ratio depends on fruit-to-bunch ratio and mesocarp-fruit ratio. The ANOVA value showed a significant variability among the genotypes for most of the bunch traits and the identified genotype P35 (24.53 %) was highest oil yielder. Positive significant correlation (p≤ 0.01) of mesocarp-to-fruit ratio and oil-to-dry mesocarp with oil-to-bunch ratio were noted in this study. Based on path analysis, the information obtained from this study is the oil-to-wet mesocarp ratio (0.697) showed the highest significant positive direct effect on oil-to-bunch ratio followed by mesocarp-to-fruit ratio (0.570). Interpretation: This study may support for the future selection of mother palms to utilize in oil palm improvement programmes. Introgression into existing breeding materials and breeding for seed production utilising selected palms.

Discovery of five new Galactic symbiotic stars in the VPHAS+ survey

2021 ◽  
Vol 502 (2) ◽  
pp. 2513-2517
Author(s):  
Stavros Akras ◽  
Denise R Gonçalves ◽  
Alvaro Alvarez-Candal ◽  
Claudio B Pereira
Keyword(s):  
Spectroscopic Data ◽  
Selection Criterion ◽  
Optical Spectra ◽  
Emission Lines ◽  
High Rate ◽  
Symbiotic Stars ◽  
Selection Of

ABSTRACT We report the validation of a recently proposed infrared (IR) selection criterion for symbiotic stars (SySts). Spectroscopic data were obtained for seven candidates, selected from the SySt candidates of Akras et al. by employing the new supplementary IR selection criterion for SySts in the VST/OmegaCAM Photometric H-Alpha Survey. Five of them turned out to be genuine SySts after the detection of H α, He ii, and [O iii] emission lines as well as TiO molecular bands. The characteristic O vi Raman-scattered line is also detected in one of these SySts. According to their IR colours and optical spectra, all five newly discovered SySts are classified as S-type. The high rate of true SySts detections of this work demonstrates that the combination of the H α emission and the new IR criterion improves the selection of target lists for follow-up observations by minimizing the number of contaminants and optimizing the observing time.

The Relative Importance of Socioeconomic and Political Variables for Public Policy

1977 ◽  
Vol 71 (2) ◽  
pp. 559-566 ◽  
Author(s):  
Michael S. Lewis-Beck
Keyword(s):  
Public Policy ◽  
Path Analysis ◽  
Multiple Regression ◽  
Partial Correlation ◽  
Policy Outcomes ◽  
Statistical Techniques ◽  
Relative Importance ◽  
Simple Correlation ◽  
Independent Variables ◽  
Political Variables

Since Dawson and Robinson, a dominant issue in the quantitative study of public policy has been the relative importance of socioeconomic and political variables for determining policy outcomes. It is argued here that past efforts to resolve this issue have been unsatisfactory, largely because they relied on inadequate statistical techniques, i.e., simple correlation, partial correlation, or multiple regression. Coefficients from these techniques are irrelevant for all but the most peculiar models of public policy. In general, if the researcher wishes to assess the relative importance of independent variables, it will be necessary to resort to path analysis of a formally constructed causal model. The comparison of “effects coefficients,” derived from path analysis, is offered as the preferred means of evaluating independent variables, superior to comparisons of coefficients from simple correlation, partial correlation, or multiple regression. When the effects coefficients are actually calculated for a popular model of welfare policy, socioeconomic variables appear much more important than political variables, contrary to interpretations coming from the more traditional statistical techniques.

scholarly journals Improved selection of participants in genetic longevity studies: family scores revisited

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mar Rodríguez-Girondo ◽  
Niels van den Berg ◽  
Michel H. Hof ◽  
Marian Beekman ◽  
Eline Slagboom
Keyword(s):  
Missing Data ◽  
The Netherlands ◽  
Family Size ◽  
Simulation Study ◽  
Missing Values ◽  
Selection Criterion ◽  
Limited Success ◽  
Main Challenge ◽  
Historical Sample ◽  
Selection Of

Abstract Background Although human longevity tends to cluster within families, genetic studies on longevity have had limited success in identifying longevity loci. One of the main causes of this limited success is the selection of participants. Studies generally include sporadically long-lived individuals, i.e. individuals with the longevity phenotype but without a genetic predisposition for longevity. The inclusion of these individuals causes phenotype heterogeneity which results in power reduction and bias. A way to avoid sporadically long-lived individuals and reduce sample heterogeneity is to include family history of longevity as selection criterion using a longevity family score. A main challenge when developing family scores are the large differences in family size, because of real differences in sibship sizes or because of missing data. Methods We discussed the statistical properties of two existing longevity family scores: the Family Longevity Selection Score (FLoSS) and the Longevity Relatives Count (LRC) score and we evaluated their performance dealing with differential family size. We proposed a new longevity family score, the mLRC score, an extension of the LRC based on random effects modeling, which is robust for family size and missing values. The performance of the new mLRC as selection tool was evaluated in an intensive simulation study and illustrated in a large real dataset, the Historical Sample of the Netherlands (HSN). Results Empirical scores such as the FLOSS and LRC cannot properly deal with differential family size and missing data. Our simulation study showed that mLRC is not affected by family size and provides more accurate selections of long-lived families. The analysis of 1105 sibships of the Historical Sample of the Netherlands showed that the selection of long-lived individuals based on the mLRC score predicts excess survival in the validation set better than the selection based on the LRC score . Conclusions Model-based score systems such as the mLRC score help to reduce heterogeneity in the selection of long-lived families. The power of future studies into the genetics of longevity can likely be improved and their bias reduced, by selecting long-lived cases using the mLRC.

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