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The powdery mildew resistance gene Pm2 is effective in China. Bulked segregant analysis (BSA) was used to search for microsatellite markers linked to Pm2 . Twenty-one microsatellite primer pairs located on chromosome 5DS were screened; three polymorphic loci Xcfd81 -5DS, Xgwm190 -5DS, and Xcfd18 -5DS were linked to Pm2 using an F 2 population from Chinese Spring × C114118 (with Pm2 ) consisting of 814 individuals. The genetic distances between Pm2 and the three markers were: 2.0cM, 34.2cM and 44.2cM, respectively. Microsatellite marker Xcfd81 -5DS could be used in marker assisted selection for Pm2 provided any chosen Pm2 source also carries the relevant marker.

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Acta Alimentaria
Authors:
J.J. Lin
,
Q.H. Meng
,
Z.F. Wu
,
S.Y. Pei
,
P. Tian
,
X. Huang
,
Z.Q. Qiu
,
H.J. Chang
,
C.Y. Ni
,
Y.Q. Huang
, and
Y. Li

Abstract

This paper explores the prediction of the soluble solid content (SSC) in the visible and near-infrared (400–1,000 nm) regions of Baise mango. Hyperspectral images of Baise mangoes with wavelengths of 400–1,000 nm were obtained using a hyperspectral imaging system. Multiple scatter correction (MSC) was chosen to remove the effect of noise on the accuracy of the partial least squares (PLS) regression model. On this basis, the characteristic wavelengths of mango SSC were selected using the competitive adaptive reweighted sampling (CARS), genetic algorithm (GA), uninformative variable elimination (UVE), and combined CARS + GA-SPA, CARS + UVE-SPA, and GA + UVE-SPA characteristic wavelength methods. The results show that the combined MSC-CARS + GA-SPA-PLS algorithm can reduce redundant information and improve the computational efficiency, so it is an effective method to predict the SSC of mangoes.

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