CORRELATION COEFFICIENT AND PATH ANALYSIS FOR SEED WEIGHT SELECTION OF EX-SITU NUTMEG (MYRISTICA FRAGRANS HOUTT.) COLLECTION

Russian Journal of Agricultural and Socio-Economic Sciences

Purwiyanti S.¹  Sudarsono²  Wahyu E.K.Y.²  Rostiana O.³ 

[1] Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University & Indonesian Spice and Medicinal Crops Research Institute, Indonesian Agricultural Agency for Research and Development (IAARD);Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University;Indonesian Spice and Medicinal Crops Research Institute, Indonesian Agricultural Agency for Research and Development (IAARD);

关键词: direct effect;    fruit weight;    indirect effect;    reproductive;    yield;    vegetative;   

DOI  :  10.18551/rjoas.2021-08.14

来源: DOAJ

【 摘 要 】

Nutmeg (Myristica fragrans Houtt.) is a perennial crop that yielded fruits about 5-7 years after planting. Determining the yield before the production phase required a considerable amount of time and was costly. The implementation of selection methods to observe characters that correlated to yields can shorten the selection period. Correlation and path analysis are methods used to select important characters that could be applied as marker-assisted selection based on morphological characters. Therefore, this research aims to observe the character as a selection criterion for seed weight in ex-situ nutmeg collections. The research was conducted at the ex-situ nutmeg collection garden at Cicurug Experimental Station, Sukabumi, West Java. The samples used were 104 females and 43 bisexual trees. The morphological characters observed were habitus, mature leaves, blooming flowers, ripe fruits, mace, and seeds. The relationship between characters was tested using Pearson correlation and continued with path analysis using the MINITAB 17 software. The results showed that the value of the correlation coefficient between fruits, seeds, and mace with the weight of the seeds was classified from strong to very strong and can be used for seed weight prediction. The selection of seed weight using the characters of fruit weight, fruit length, fruit diameter, mace weight, and seed length must be done simultaneously. While the selection with seed diameter character can be done independently.