study were to monitor the postharvest process at the farm and to develop multivariate analysis models using weight loss, firmness loss, and an assessment of bruising, together with fruit properties, impact force level, storage environment, and storage
Jinshi Cui, Myongkyoon Yang, Daesik Son, Seongmin Park, and Seong-In Cho
Adriano dos Santos, Francisco Eduardo Torres, Erina Vitório Rodrigues, Ariane de Andréa Pantaleão, Larissa Pereira Ribeiro Teodoro, Leonardo Lopes Bhering, and Paulo Eduardo Teodoro
the nonlinear regression analysis and multivariate analysis. Materials and Methods Experiments were performed in the municipalities of Aquidauana, Mato Grosso do Sul (lat. 20°27′12″ S; long. 55°40′06″ W; alt. 187 m asl.), Chapadão do Sul, Mato Grosso
Mohsen Hesami and Mostafa Rahmati-Joneidabad
Ficus racemosa stem bark possess antidiabetic, hypolipidemic and protective effects in albino Wistar rats J. Ethnopharmacol. 181 252 262 Khadivi-Khub, A. Zamani, Z. Fatahi, M.R. 2012 Multivariate analysis of Prunus subgen . Cerasus germplasm in Iran
Givago Coutinho, Rafael Pio, Filipe Bittencourt Machado de Souza, Daniela da Hora Farias, Adriano Teodoro Bruzi, and Paulo Henrique Sales Guimarães
programs. According to Cruz et al. (2004) , comparing results from several multivariate analysis techniques provides a more accurate interpretation of the differences among cultivars, affording a more accurate interpretation of results with a low demand
Anne M. Parkhurst
Santiago Pereira-Lorenzo, María Belén Díaz-Hernández, and Ana María Ramos-Cabrer
Morphological characters (six traits) and isozymes (four systems, five loci) were used to discriminate between Spanish chestnut cultivars (Castanea sativa Mill.) from the Iberian Peninsula. A total of 701 accessions (representing 168 local cultivars) were analyzed from collections made between 1989 and 2003 in the main chestnut growing areas: 31 were from Andalucía (12 cultivars), 293 from Asturias (65 cultivars), 25 from Castilla-León (nine cultivars), four from Extremadura (two cultivars) and 348 from Galicia (80 cultivars). Data were synthesized using multivariate analysis, principal component analysis, and cluster analysis. A total of 152 Spanish cultivars were verified: 58 cultivars of major importance and 94 of minor importance, of which 18 had high intracultivar variation. Thirty-seven cultivars were clustered into 14 synonymous groups. Six of these were from Galicia, one from Castilla-León (El Bierzo), four from Asturias, one from Asturias and Castilla-León (El Bierzo), and two from Asturias, Castilla-León (El Bierzo), and Galicia. The chestnut cultivars from Galicia and Asturias were undifferentiated in genetic terms, indicating that they are not genetically isolated. Overall, chestnut cultivars from southern Spain showed the least variation. Many (58%) of Spanish cultivars produced more than 100 nuts/kg; removing this low market-value character will be a high priority. The data obtained will be of use in chestnut breeding programs in Spain and elsewhere.
Qiang Zhang, Minji Li, Beibei Zhou, Junke Zhang, and Qinping Wei
about the high quality of apple in the north Weihe River among the Loess Plateau J. Nat. Resour. 3 312 322 doi: 10.11849/zrzyxb.1988.04.003 Zhang, Q. Zhou, B.B. Li, M.J. Wei, Q.P. Han, Z.H. 2018 Multivariate analysis between meteorological factor and
Ettore Barone, Luigi Di Marco, Francesco P. Marra, and Maria Sidari
Canonical discriminant analysis (CDA) of morphometric data of buds, leaves, and fruit, as well as isozyme analysis (esterase, peroxydase, and acid phosphatase) of leaf samples, were used to identify eight male pistachio selections and 10 female pistachio cultivars. According to the CDA, 77% and 93% of the total variance was summarized by the first three canonical discriminant functions for the female and male selections, respectively. Fruit characteristics, particularly fruit fresh and dry weights and fruit length, accounted for most of the discriminatory power for the female cultivars, while the dimensions of the leaves, principally leaf rachis length, were the most effective discriminating characters for the males. Isozyme analysis showed a higher degree of polymorphism in the male than the female genetic pool. Hence, using only three enzymes, it was possible to identify all of the male selections, but only 50% of the females. Peroxidase polymorphism clearly demonstrated the greater phylogenetic distance between `Kerman' and the local cultivars, as well as between `Cerasola', a quite different cultivar with a reddish hull, and the others tested. The combination of CDA and isozyme analysis enhanced the possibility of uniquely identifying the female cultivars.
Bridget K. Behe, Timothy A. Prince, and Harry K. Tayama
Survey analysis of 510 floral product consumers in Ohio supermarkets identified 34 factors that affect floral purchasing. Responses to 106 survey questions were factor-analyzed using a principal component analysis with varimax rotate that yielded 34 independent factors, accounting for 64% of the total variance. Factors were grouped into five major categories: product, consumer, store, use (gift), and use (location) factors. The analysis condensed the domain of consumer floral purchasing issues into fewer factors that represent the most important influences on floral buying decisions. The factors are useful in market segmentation and were used to define five market segments of supermarket-floral customers.
Bridget K. Behe, Timothy A. Prince, and Harry K. Tayama
A profile of consumer groups who purchased floral products from supermarkets was studied with a 106-item questionnaire developed to determine the domain of issues affecting supermarket floral purchases. Thirty-four factors were identified in factor analysis and formed the basis for cluster analysis. Cluster analysis was performed on survey responses to create five homogeneous consumer segments. Demographic data and floral-purchase factors were used to profile market segments and distinguishing elements. Fourteen factors contributed most to the differences between segments, including factors of product assortment, number of purchases, degree of personal use, and package importance. Clusters can be used by supermarket and florist management as potential target markets.