Phenotypic Correlation and Path Analysis in Sunflower Genotypes and Pollination Influence on Estimates

Chambó, Émerson Dechechi; Oliveira, Newton Tavares Escocard de; Garcia, Regina Conceição; Rúvolo-Takasusuki, Maria Cláudia Colla; Toledo, Vagner de Alencar Arnaut de

doi:10.2174/2352633501703010009

Cited by 10 publications

(11 citation statements)

References 15 publications

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“…Therefore, the NAH is not indicated as a single parameter to increase selection efficiency of more productive cultivars. Chambó et al (2017) also found a negative relation between these traits and corroborated results observed in our study. Meanwhile, other studies have not observed this negative relation (Tyagi & Khan, 2013;Rigon et al, 2014), indicating the importance of these assessments under specific environmental conditions.…”

Section: Resultssupporting

confidence: 92%

“…Furthermore, HD has greater ease of measurement in a non-destructive assessment in comparison to TAW and NAH. Studies in other cropping environments also corroborate with this result, indicating the relation between HD and YAH (Yasin & Singh, 2010;Darvishzadeh et al, 2011;Hassan et al, 2013;Tyagi & Khan, 2013;Chambó et al, 2017).…”

Section: Resultsmentioning

confidence: 57%

“…11, No. 2;Tyagi et al, 2013, Rigon et al, 2013, Chambó et al, 2017. The traits PH, SD and HD exhibited low direct effects on YAH.…”

Section: Resultsmentioning

confidence: 99%

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Correlations and Path Analysis in Sunflower Grown at Lower Elevations

Follmann¹,

Filho²,

Santos³

et al. 2019

JAS

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Sunflower cultivation has great importance in Brazil, mainly for production of oil and animal feed. Studies on sunflower cultivar selection are important for crop expansion, contributing to better cultivar adaptation to different environments. Thus, the objective of this study was to evaluate the linear relations among sunflower (Helianthus annuus L.) morphological traits in a subtropical region with lower elevations and to identify traits that may assist in cultivar selection based on agronomic performance and path analysis. The experiment was performed during the 2017/2018 agricultural year in Santa Maria (latitude 29º71′ S, longitude 53º70′ W and 90 m altitude), southern Brazil. The experimental design was a randomized block with four replicates and eight cultivars: Syn 045, BRS 323, BRS G58, BRS G59, BRS G60, BRS G61, Multissol 02 and Catissol 03. Assessed traits were plant height, stem diameter, head diameter, thousand achenes weight, yield of achenes per head and number of achenes per head. Hereafter, associations between morphological traits and achene yield were verified by means of linear relations and path analysis. Thousand achenes weight and number of achenes per head exhibited linear relations and direct effects on achene yield in subtropical region at lower elevations. Head diameter does not present direct effect on achenes yield but it has direct effect on the number of achenes per head, indicating cause-effect relation and becoming an important alternative for indirect selection of sunflower cultivars.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 57%

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Correlations and Path Analysis in Sunflower Grown at Lower Elevations

Follmann¹,

Filho²,

Santos³

et al. 2019

JAS

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“…The significant correlations in stress condition indicated that seed yield plant-1 were increased due to increase in head diameter, seeds per head, 1000-seed weight and harvest index while significant negative associations of seed yield with other traits showed that if seed yield increased these traits such as plant height and head mass were decreased that is also desirable association while other correlations either positive or negative they were nonsignificant with seed yield their increase or decrease in traits cannot imposed significant effect on seed yield. Our results are in agreement with those they also reported such type of association with seed yield in water stress condition as well as non-stress conditions they are [47,45].…”

Section: Correlation Coefficient Of Yield and Physiological Traitssupporting

confidence: 94%

Performance of sunflower (Helianthus annuus L.) genotypes morphological and yield traits under water deficit conditions

Rajper¹

2022

PAB

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The current research finding is carried out for developing the water tolerant genotypes thus the six sunflower genotypes such as Charinka, Thatta, A-2,TJ-1,N-17 and A-1 were studied at oilseeds research institute, Tandojam during 2019.The experiment was carried out in split plot design with three replications. Twelve quantitative traits were studied such as days to 75% flowering, day to 75% maturity, hight, head size, number of seeds head -1 ,seed index, relative water content, leaf area, head mass, mass of achenes head -1 ,plant dry matter and harvest index. The mean square from analysis variance displayed that genotypes, treatments and treatments x genotypes were significant for all the traits like days to 75% heading, days to 75% maturity, plant height, number of seeds head -1 , 1000-seed weight, relative water content, leaf area, biological yield plant -1 , head mass, mass of achenes head ,-1 and harvest index. Water stress caused significant impacts on all the studies traits, like days to 75% heading, days to 75% maturity, plant height, number of seeds head -1 , 1000-seed weight, relative water content, leaf area, biological yield plant -1 , head mass, mass of achenes head ,-1 and harvest index. Among the genotypes such as A-2,A-1 and TJ-1 performed better under water stress conditions according to higher mean performance for days to 75% heading, day to 75% maturity, plant height, head size, number of seed head -1 ,1000 seed weight, relative water content, leaf area, total dry matter, head mass, mass of achenes -1 and harvest index. Seed yield significant negative (-0.49*) associated with days to 75% flowering, (-0.57*) 1000-seed weight and (-0.44*) relative water content. The seed yield plant -1 was significant positive (0.90**) associated with harvest index. Whereas in water stress condition seed yield significant negative (-0.40*) associated with plant height and (-0.36*) head mass and it was significant positive (0.44*) with head diameter, (0.73**) seeds per head, (0.87**) 1000-seed weight and (0.78**) harvest index.

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“…= jumlah daun/number of leaf JT = jumlah tandan/number of bunch JB = jumlah buah/number of fruits BBU = bobot buah utuh/weight of fruit LPBU = lingkar polar buah utuh/polar circumference of fruit LEBU = lingkar equatorial buah utuh/equatorial circumference of fruit BTS = bobot buah tanpa sabut/weight of unhusked nut LPB = lingkar polar buah tanpa sabut/polar circumference of nut LEB = lingkar equatorial buah tanpa sabut/equatorial circumference of nut BBTA = bobot buah tanpa air/weight of split nut TDB = tebal daging buah/thick of endosperm BDB = bobot daging buah/weight of endosperm PDB = produksi daging buah/endosperm production Sowmiya and Venkatesan (2017) menyatakan bahwa analisis koefisien mengukur hubungan timbal balik antara berbagai karakter tanaman dan menetapkan komponen karakter, yaitu seleksi dapat dilakukan untuk perbaikan hasil tanaman. Menurut Chambo et al (2017), dalam program pemuliaan untuk memperbaiki hasil sangat penting untuk mencari karakter-karakter morfologi dan fisiologi yang mudah diukur dan pada saat yang sama memperlihatkan hubungan timbal balik dengan hasil sehingga dapat dijadikan sebagai kriteria seleksi. Untuk mendapatkan karakter seleksi yang tepat, hanya karakter-karakter memiliki hubungan nyata dan sangat nyata yang diikutkan dalam analisis lintas (Tabel 3 dan 4).…”

Section: Nilai Koefisien Korelasi Karakter Agronomi Kelapa Dalam Kampunclassified

SIDIK LINTAS KARAKTER VEGETATIF DAN GENERATIF KELAPA DALAM DI DAERAH PASANG SURUT JAMBI / Path Coefficient Analysis of Vegetative and Generative Characters of Tall Coconut in Tidal Swamp Area of Jambi

Miftahorrachman¹,

Romadhon²,

Kumaunang³

et al. 2019

j. penelitian tanam. industri

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Coconut improvement programs require knowledge of the effect of morphological characters on the coconut yield. The study aimed to determine the effects of fourteen morphological characters on the production of coconut meat character on Kampung Laut and Pengabuan tall coconut. This study was conducted in Kampung Laut and Pengabuan Villages, Jambi Province. Correlation analysis among 15 characters of vegetative, generative, and fruit components used the Walpole formula (1992). Fourteen characters affecting meat production were analyzed by using Path analysis of Singh and Chaudary formula following the R i386 3.5.2 software package in the Agricole package. Correlation analysis resulted in the characters of the number of leaves, number of bunches, number of fruits, polar circumference of fruit, weight of unhusked fruit, equatorial circumference of nut, and weight of endosperm correlated with the production of endosperm, on Kampung Laut tall coconut, while Pengabuan tall coconut have number of fruits, equatorial circumference of nut, and weight of endosperm. The results of path analysis showed that the characters of the number of bunches, number of fruits, and weight of endosperm had a significant direct effect on the production of endosperm on the Kampung Laut tall coconut. While on the Pengabuan tall coconut, only the fruits number and endosperm weight affected the endosperm production. The study indicates that the number of bunches, number of fruits, and weight of endosperm can be used as selection criteria to increase the production of the endosperm of the Kampung Laut and Pangabuan tall coconut.Keywords: Morphological characters, correlation, fruit components, selection AbstrakProgram perbaikan tanaman kelapa membutuhkan pengetahuan tentang pengaruh karakter morfologi terhadap hasil. Penelitian bertujuan untuk mengetahui pengaruh langsung dan tidak langsung 14 karakter morfologi terhadap produksi daging buah kelapa Dalam Pengabuan dan kelapa Dalam Kampung Laut asal Propinsi Jambi. Penelitian dilakukan di Desa Kampung Laut, Tanjung Jabung Timur dan Desa Pengabuan, Tanjung Jabung Barat, Propinsi Jambi pada tahun 2017. Analisis korelasi antar 15 karakter vegetatif, generatif, dan komponen buah menggunakan rumus Walpole (1992). Analisis sidik lintas 14 karakter vegetatif, generatif serta komponen buah terhadap karakter produksi daging buah per pohon per tahun, menggunakan rumus dari Singh dan Chaudary. Kedua analisis tersebut menggunakan program software R i386 3.5.2 package Agricole. Hasil Analisis korelasi menunjukkan karakter-karakter jumlah daun, jumlah tandan, jumlah buah, lingkar polar buah utuh, bobot buah tanpa sabut, lingkar equatorial biji, dan bobot daging buah berkorelasi dengan produksi daging buah, untuk kelapa Dalam Kampung Laut, sedangkan untuk kelapa Dalam Pengabuan adalah jumlah buah, lingkar equatorial biji, dan bobot daging buah. Hasil analisis lintas menunjukkan bahwa karakter jumlah tandan, jumlah buah, dan bobot daging buah berpengaruh langsung secara nyata terhadap karakter produksi daging buah untuk kelapa Dalam Kampung Laut, sedangkan untuk kelapa Dalam Pangabuan hanya dua karakter yang berpengaruh langsung terhadap produksi daging buah, yaitu karakter jumlah buah dan bobot daging buah. Hasil penelitian mengindikasika bahwa karakter jumlah tandan, jumlah buah, dan bobot daging buah dapat dijadikan sebagai kriteria seleksi untuk peningkatan produksi daging buah kelapa Dalam Kampung Laut dan kelapa Dalam Pengabuan.Kata kunci: karakter morfologi, korelasi, komponen buah, produksi kelapa, seleksi.

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Phenotypic Correlation and Path Analysis in Sunflower Genotypes and Pollination Influence on Estimates

Cited by 10 publications

References 15 publications

Correlations and Path Analysis in Sunflower Grown at Lower Elevations

Correlations and Path Analysis in Sunflower Grown at Lower Elevations

Performance of sunflower (Helianthus annuus L.) genotypes morphological and yield traits under water deficit conditions

SIDIK LINTAS KARAKTER VEGETATIF DAN GENERATIF KELAPA DALAM DI DAERAH PASANG SURUT JAMBI / Path Coefficient Analysis of Vegetative and Generative Characters of Tall Coconut in Tidal Swamp Area of Jambi

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