干旱区生态环境知识资源中心(Arid): Dummy regression to predict dry fiber in Agave lechuguilla Torr. in two large-scale bioclimatic regions in Mexico

Arid

DOI	10.1371/journal.pone.0274641
	Dummy regression to predict dry fiber in Agave lechuguilla Torr. in two large-scale bioclimatic regions in Mexico
	Lopez-Diaz, Jose Oscar M.; Mendez-Gonzalez, Jorge; Lopez-Serrano, Pablito M.; Sanchez-Perez, Felix de J.; Mendez-Encina, Fatima M.; Mendieta-Oviedo, Rocio; Sosa-Diaz, Librado; Flores, Andres; Garcia-Montiel, Emily; Cambron-Sandoval, Victor H.; Zermeno-Gonzalez, Alejandro; Corral Rivas, Jose J.
通讯作者	Méndez-González, J
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2022
卷号	17 期号:9
英文摘要	Agave lechuguilla Torr., of the family Agavaceae, is distributed from southwestern United States to southern Mexico and is one of the most representative species of arid and semi-arid regions. Its fiber is extracted for multiple purposes. The objective of this study was to generate a robust model to predict dry fiber yield (Dfw) rapidly, simply, and inexpensively. We used a power model in its linear form and bioclimatic areas as dummy variables. Training, generation (80%) and validation (20%) of the model was performed using machine learning with the package 'caret' of R. Using canonical correlation analysis (CCA), we evaluated the relationship of Dwf to bioclimatic variables. The principal components analysis (PCA) generated two bioclimatic zones, each with different A. lechuguilla productivities. We evaluated 499 individuals in four states of Mexico. The crown diameter (Cd) of this species adequately predicts its fiber dry weight (R-2 = 0.6327; p < 0.05). The intercept (beta(0)), slope UnCd (beta(1))], zone [(beta(2))] and interaction [InCd:Zona (beta(3))] of the dummy model was statistically significant (p < 0.05), giving origin to an equation for each bioclimatic zone. The CCA indicates a positive correlation between minimum temperature of the coldest month (Bio 6) and Dwf (r = 0.84 and p < 0.05). In conclusion, because of the decrease in Bio 6 of more than 0.5 degrees C by 2050, the species could be vulnerable to climate change, and A. lechuguilla fiber production could be affected gradually in the coming years.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000892087100094
WOS关键词	LECHEGUILLA TORR. ; PRODUCTIVITY ; AGAVACEAE
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394039
推荐引用方式 GB/T 7714	Lopez-Diaz, Jose Oscar M.,Mendez-Gonzalez, Jorge,Lopez-Serrano, Pablito M.,et al. Dummy regression to predict dry fiber in Agave lechuguilla Torr. in two large-scale bioclimatic regions in Mexico[J],2022,17(9).
APA	Lopez-Diaz, Jose Oscar M..,Mendez-Gonzalez, Jorge.,Lopez-Serrano, Pablito M..,Sanchez-Perez, Felix de J..,Mendez-Encina, Fatima M..,...&Corral Rivas, Jose J..(2022).Dummy regression to predict dry fiber in Agave lechuguilla Torr. in two large-scale bioclimatic regions in Mexico.PLOS ONE,17(9).
MLA	Lopez-Diaz, Jose Oscar M.,et al."Dummy regression to predict dry fiber in Agave lechuguilla Torr. in two large-scale bioclimatic regions in Mexico".PLOS ONE 17.9(2022).