海岛棉氮高效品种筛选与氮效率综合评价

段松江, 木丽迪尔·拜波拉提, 彭增莹, 申莹莹, 吴一凡, 付锦程, 郭仁松, 张巨松

Screening of Nitrogen High-Efficiency Varieties and Comprehensive Evaluation of Nitrogen Efficiency of Sea Island Cotton

Duan Songjiang, Mulidier∙Baibolati, Peng Zengying, Shen Yingying, Wu Yifan, Fu Jincheng, Guo Rensong, Zhang Jusong

表4 不同氮肥水平下12个海岛棉品种收获期19个指标相关性分析

Table 4 Correlation analysis of 19 indexes at the harvest period of 12 sea island cotton cultivars under different nitrogen fertilizer levels

指标 Index	PH	NFB	SPAD	SLB	ROB	APB	SLNA	RONA	APNA	BNP	BW	LP	SCY	LCY	aNUE	NPFP	NRE	pNUE	iNUE
PH		0.327	-0.047	0.750^**	0.306	0.586^*	0.706^*	0.151	0.484	0.380	0.379	-0.511	0.497	0.412	-0.157	0.497	-0.058	0.271	-0.334
NFB	0.267		0.403	0.154	0.462	0.383	0.015	0.407	0.255	0.648^*	0.168	0.082	0.713^**	0.715^**	0.063	0.713^**	-0.057	0.328	0.170
SPAD	-0.310	-0.050		-0.028	0.256	0.153	-0.119	0.208	0.058	0.273	-0.379	0.530	0.139	0.233	0.323	0.139	0.378	-0.154	0.072
SLB	0.896^**	0.337	-0.096		0.528	0.814^**	0.944^**	0.548	0.864^**	0.407	0.627^*	-0.254	0.474	0.421	0.135	0.474	0.416	-0.106	-0.772^**
ROB	0.628^*	0.818^**	-0.302	0.691^*		0.913^**	0.475	0.932^**	0.832^**	0.659^*	0.375	0.022	0.756^**	0.764^**	0.092	0.756^**	0.555	-0.353	-0.473
APB	0.810^**	0.659^*	-0.230	0.898^**	0.939^**		0.784^**	0.850^**	0.955^**	0.599^*	0.571	-0.133	0.718^**	0.694^*	0.079	0.719^**	0.528	-0.269	-0.677^*
SLNA	0.653^*	0.236	0.144	0.900^**	0.566	0.774^**		0.463	0.841^**	0.244	0.708^*	-0.304	0.342	0.276	0.009	0.343	0.361	-0.163	-0.824^**
RONA	0.540	0.728^**	0.081	0.696^*	0.842^**	0.845^**	0.605^*		0.868^**	0.591^*	0.404	0.194	0.649^*	0.672^*	0.127	0.649^*	0.638^*	-0.461	-0.587^*
APNA	0.668^*	0.534	0.131	0.890^**	0.782^**	0.901^**	0.892^**	0.899^**		0.496	0.646^*	-0.044	0.589^*	0.568	0.099	0.589^*	0.602^*	-0.375	-0.817^**
BNP	0.198	0.421	0.043	0.486	0.556	0.571	0.619^*	0.520	0.626^*		0.063	-0.169	0.835^**	0.811^**	0.221	0.835^**	0.163	0.309	-0.037
BW	0.022	0.067	0.657^*	0.143	-0.152	-0.024	0.260	0.136	0.230	-0.294		-0.246	0.396	0.337	0.047	0.396	0.208	-0.082	-0.514
LP	-0.690^*	-0.583^*	0.024	-0.657^*	-0.646^*	-0.706^*	-0.505	-0.571	-0.610^*	-0.270	-0.252		-0.131	0.025	0.380	-0.131	0.574	-0.506	0.043
SCY	0.331	0.516	0.429	0.626^*	0.560	0.640^*	0.742^**	0.751^**	0.835^**	0.703^*	0.339	-0.553		0.986^**	0.190	1.000^**	0.240	0.214	-0.028
LCY	0.066	0.327	0.510	0.434	0.367	0.431	0.637^*	0.630^*	0.704^*	0.680^*	0.270	-0.155	0.904^**		0.280	0.986^**	0.347	0.130	0.003
aNUE	-0.563	-0.193	0.233	-0.618^*	-0.373	-0.522	-0.478	-0.365	-0.468	-0.356	0.085	0.284	-0.142	-0.003		0.191	0.586^*	-0.014	0.070
NPFP	0.331	0.515	0.430	0.626^*	0.559	0.639^*	0.742^**	0.750^**	0.835^**	0.702^*	0.341	-0.551	1.000^**	0.905^**	-0.142		0.241	0.214	-0.028
NRE	0.126	0.769^**	-0.148	0.166	0.705^*	0.508	0.101	0.673^*	0.433	0.401	-0.185	-0.293	0.313	0.206	-0.299	0.313		-0.724^**	-0.500
pNUE	-0.412	-0.571	0.196	-0.441	-0.576^*	-0.561	-0.320	-0.529	-0.474	-0.394	0.064	0.391	-0.244	-0.049	0.817^**	-0.244	-0.747^**		0.554
iNUE	-0.811^**	-0.519	0.128	-0.881^**	-0.825^**	-0.923^**	-0.770^**	-0.828^**	-0.896^**	-0.390	-0.148	0.729^**	-0.563	-0.330	0.542	-0.563	-0.479	0.557