Multivariate analysis to determine relationship between phenological traits with yield components in native melon population (Cucumis melo. L)
Journal Title: Scientific Journal of Crop Science - Year 2014, Vol 3, Issue 5
Abstract
Canonical correlation analysis (CCA), factor analysis and simple correlation analysis were used to estimate relationships between plant characters [X set- days number for flowering, fruit formation, fruit maturity, harvesting, number of seeds per fruit, thousand seeds weight, seed length, seed width, plant length], and yield components [Y set- fruit weight (F.WE), fruit length(F.L), fruit width (F.WI) and number of fruits per plant (N.F.P)] of 41 native melons (Ghandak) collected from the Sistan region in the south eastern of Iran. The results of the canonical analysis showed that a high canonical correlation is observed between yield components and plant characters in first pairs of canonical variables (0.78). The findings obtained from the CCA indicate that fruit width (F.WI) had the largest contribution for the explanatory capacity of canonical variables estimated from yield components of the melon population. Thousand seeds weight and number of days to fruit formation had the largest contribution to explain the canonical variables estimated from X-set when compared to other characters. The correlation coefficient analysis indicated that number of days to fruit ripening had the most significant positive effect on fruit length. Factor analysis results revealed that six factors could explain approximately 77% of total variation; those factors were strongly influenced by number of seed per fruit, thousands seed weight, fruit width, number of days to flowering, fruit length, number of days to fruit ripening and seed width.
Authors and Affiliations
M. R. Naroui Rad*| Agriculture and Natural Resources Research Center of Sistan, Iran., S. Koohkan| Agriculture and Natural Resources Research Center of Sistan, Iran., H. R. Fanaei| Agriculture and Natural Resources Research Center of Sistan, Iran., M. Khajedad| Agriculture and Natural Resources Research Center of Sistan, Iran.
Artificial neural networks in vegetables: A comprehensive review
Artificial neural networks(ANN) are implemented in a large number of applications of science and technology as the technique has become very popular and accepted tool for researchers and scientists. ANN renders realistic...
Effect of nano iron foliar application on quantitative characteristics of new line of wheat
In order to study the effect of nano iron foliar application on quantitative characteristics of new line of wheat this study was conducted for one year (2012) in the cold climate of Kermanshah. Experiment was conducted a...
Phytochemical screening and physical constant evaluation of Ficus Abutilifolia Miq. (Moraceae) leaves, stembarks and roots for quality control
Ficus abutilifolia has been used to treat various ailments in Nigeria especially in the Northern and Southern parts, where the plant’s aqueous extracts has been use to treat typhoid fever, syphilis, and amoebic dysentery...
Citrus fertigation – a technology of water and fertilizers saving
Fertigation is the application of soluble fertilizers through micro-irrigation systems, has been used in citrus production since the 1960s. Originally, fertigation was used in arid regions to improve solubility of fertil...
Seroprevalence of infectious bursal disease in backyard chickens of North West Ethiopia
A cross sectional study was conducted in North Gondar and West Gojjam Administrative Zones from November 2009 to June 2010 to determine the seroprevalence of infectious bursal disease by using I-ELISA (Indirect enzyme li...