Establishment and Application of Correlation Model Between Chlorophyll Content and SPAD Value in Pepper Under Waterlogging Stress

doi:10.11924/j.issn.1000-6850.casb2021-0925

Abstract

Abstract:

The paper aims to explore the correlation between chlorophyll content and SPAD (single-photon avalanche diode) value in pepper under waterlogging stress. In this study, the chlorophyll content of pepper leaves was measured by SPAD and spectrophotometry. The correlation between chlorophyll content and SPAD readings of pepper under waterlogging stress or normal management condition was explored. The results showed that SPAD readings of all varieties were positively correlated with the leaf chlorophyll content of pepper under normal management condition, indicating that SPAD can truly evaluate the chlorophyll content of pepper leaves. The correlation coefficients of the four fitting functions between the chlorophyll content and SPAD in ‘Huifeng No. 2’ were all significantly different. The optimal fitting model was linear equation, and model tests were carried out. Water logging stress seriously interfered with SPAD measurement for pepper chlorophyll content, and there were significant differences in the degree of interference between short-term and long-term stress on different varieties. The optimal mathematical functions of correlation between SPAD reading and chlorophyll content of pepper leaves under normal management or waterlogging stress are established. After significance test, the mathematical model with a significant correlation coefficient can be directly applied to related research. After SPAD value is substituted into the equation, the chlorophyll content can be obtained quickly, which realizes the non-destructive detection of the chlorophyll content in pepper and lays a solid foundation for the rapid measurement of the chlorophyll content in the future.

Key words: pepper, waterlogging stress, chlorophyll content, SPAD value, correlation

CLC Number:

S641.3

SONG Zhao, LIANG Ludan, HUANG Wenyin, CHEN Xiao, CAO Jian, HE Yuzhi, ZHANG Baige. Establishment and Application of Correlation Model Between Chlorophyll Content and SPAD Value in Pepper Under Waterlogging Stress[J]. Chinese Agricultural Science Bulletin, 2022, 38(25): 30-37.

Figures/Tables 9

References 24

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品种	分组	指数			线性			对数			乘幂
品种	分组	方程	R²	r	方程	R²	r	方程	R²	r	方程	R²	r
粤红3号	胁迫	y=0.8532e^0.0151^x	0.174	0.417	y=0.0258x+0.55	0.192	0.439	y=1.1615lnx-2.699	0.192	0.438	y=0.1277x^0.6788	0.173	0.417
粤红3号	对照	y=0.5506e^0.0217^x	0.379	0.616	y=0.0422x-0.444	0.464	0.681^*	y=2.1927lnx-6.8979	0.435	0.660^*	y=0.0202x^1.1245	0.354	0.595
汇丰二号	胁迫	y=0.1543e^0.0543^x	0.263	0.513	y=0.1038x-2.72	0.180	0.425	y=5.0327lnx-17.195	0.192	0.439	y=9E-05x^2.6061	0.275	0.524
汇丰二号	对照	y=0.1609e^0.051^x	0.885	0.941^**	y=0.0966x-2.66	0.893	0.945^**	y=4.4765lnx-15.316	0.873	0.935^**	y=0.0002x^2.3745	0.870	0.933^**

品种	分组	指数			线性			对数			乘幂
品种	分组	方程	R²	r	方程	R²	r	方程	R²	r	方程	R²	r
粤红3号	胁迫	y=0.8532e^0.0151^x	0.174	0.417	y=0.0258x+0.55	0.192	0.439	y=1.1615lnx-2.699	0.192	0.438	y=0.1277x^0.6788	0.173	0.417
粤红3号	对照	y=0.5506e^0.0217^x	0.379	0.616	y=0.0422x-0.444	0.464	0.681^*	y=2.1927lnx-6.8979	0.435	0.660^*	y=0.0202x^1.1245	0.354	0.595
汇丰二号	胁迫	y=0.1543e^0.0543^x	0.263	0.513	y=0.1038x-2.72	0.180	0.425	y=5.0327lnx-17.195	0.192	0.439	y=9E-05x^2.6061	0.275	0.524
汇丰二号	对照	y=0.1609e^0.051^x	0.885	0.941^**	y=0.0966x-2.66	0.893	0.945^**	y=4.4765lnx-15.316	0.873	0.935^**	y=0.0002x^2.3745	0.870	0.933^**

品种	分组	指数			线性			对数			乘幂
品种	分组	方程	R²	r	方程	R²	r	方程	R²	r	方程	R²	r
粤红 3 号	胁迫2 d	y=1.8304e^-7E-04^x	0.0005	-0.022	y=0.0014x+1.7336	0.0007	0.026	y=0.0911lnx+1.4482	0.0016	0.040	y=1.8633x^-0.013	9E-05	-0.009
	对照	y=2.5928e^-0.005^x	0.0127	-0.113	y=-0.0136x+2.7404	0.0278	-0.167	y=-0.738lnx+4.9498	0.0318	-0.178	y=5.9327x^-0.274	0.0154	-0.124
	胁迫7 d	y=0.2934e^0.0378^x	0.745	0.863^*	y=0.0612x-1.1095	0.7918	0.890^**	y=2.7834lnx-8.9341	0.7883	0.888^**	y=0.0023x^1.7244	0.7457	0.864^*
	对照	y=1.3026e^0.008^x	0.2283	0.478	y=0.0161x+1.1369	0.2194	0.468	y=0.8917lnx-1.5471	0.2255	0.475	y=0.3463x^0.4402	0.2345	0.484
汇丰二号	胁迫2 d	y=0.0175e^0.1024^x	0.4585	0.677	y=0.2163x-7.7869	0.432	0.657	y=9.7361lnx-35.097	0.432	0.657	y=4E-08x^4.6059	0.4581	0.677
	对照	y=0.4897e^0.0239^x	0.2185	0.467	y=0.0352x-0.1268	0.2684	0.518	y=1.4036lnx-3.8925	0.2545	0.504	y=0.0379x^0.9539	0.2069	0.455
	胁迫7 d	y=0.511e^0.0298^x	0.1212	0.348	y=0.0501x-0.1188	0.0535	0.231	y=2.5223lnx-7.4631	0.0597	0.244	y=0.0076x^1.4591	0.1279	0.358
	对照	y=0.3073e^0.0394^x	0.6679	0.817^*	y=0.0998x-2.7977	0.641	0.801^*	y=5.4168lnx-19.008	0.6489	0.806^*	y=0.0005x^2.1362	0.676	0.822^*

品种	分组	指数			线性			对数			乘幂
品种	分组	方程	R²	r	方程	R²	r	方程	R²	r	方程	R²	r
粤红 3 号	胁迫2 d	y=1.8304e^-7E-04^x	0.0005	-0.022	y=0.0014x+1.7336	0.0007	0.026	y=0.0911lnx+1.4482	0.0016	0.040	y=1.8633x^-0.013	9E-05	-0.009
	对照	y=2.5928e^-0.005^x	0.0127	-0.113	y=-0.0136x+2.7404	0.0278	-0.167	y=-0.738lnx+4.9498	0.0318	-0.178	y=5.9327x^-0.274	0.0154	-0.124
	胁迫7 d	y=0.2934e^0.0378^x	0.745	0.863^*	y=0.0612x-1.1095	0.7918	0.890^**	y=2.7834lnx-8.9341	0.7883	0.888^**	y=0.0023x^1.7244	0.7457	0.864^*
	对照	y=1.3026e^0.008^x	0.2283	0.478	y=0.0161x+1.1369	0.2194	0.468	y=0.8917lnx-1.5471	0.2255	0.475	y=0.3463x^0.4402	0.2345	0.484
汇丰二号	胁迫2 d	y=0.0175e^0.1024^x	0.4585	0.677	y=0.2163x-7.7869	0.432	0.657	y=9.7361lnx-35.097	0.432	0.657	y=4E-08x^4.6059	0.4581	0.677
	对照	y=0.4897e^0.0239^x	0.2185	0.467	y=0.0352x-0.1268	0.2684	0.518	y=1.4036lnx-3.8925	0.2545	0.504	y=0.0379x^0.9539	0.2069	0.455
	胁迫7 d	y=0.511e^0.0298^x	0.1212	0.348	y=0.0501x-0.1188	0.0535	0.231	y=2.5223lnx-7.4631	0.0597	0.244	y=0.0076x^1.4591	0.1279	0.358
	对照	y=0.3073e^0.0394^x	0.6679	0.817^*	y=0.0998x-2.7977	0.641	0.801^*	y=5.4168lnx-19.008	0.6489	0.806^*	y=0.0005x^2.1362	0.676	0.822^*

品种	分组	指数			线性			对数			乘幂
品种	分组	方程	R²	r	方程	R²	r	方程	R²	r	方程	R²	r
粤红 3号	胁迫	y=0.3987e^0.0275^x	0.412	0.642^*	y=0.0378x-0.303	0.357	0.598	y=1.8035lnx-5.4614	0.368	0.607	y=0.0093x^1.3132	0.427	0.654^*
粤红 3号	对照	y=0.5506e^0.0217^x	0.379	0.616	y=0.0422x-0.4446	0.464	0.681^*	y=2.1927lnx-6.8979	0.435	0.660^*	y=0.0202x^1.1245	0.354	0.595
汇丰二号	胁迫	y=1.3346e^0.0043^x	0.014	0.119	y=0.0077x+1.292	0.017	0.130	y=0.3024lnx+0.4929	0.011	0.106	y=0.8785x^0.1613	0.008	0.093
汇丰二号	对照	y=0.248e^0.0401^x	0.539	0.734^*	y=0.0736x-1.7983	0.604	0.777^**	y=3.5309lnx-11.924	0.586	0.766^**	y=0.001x^1.926	0.524	0.724^*
绿霸星 12号	胁迫	y=0.4679e^0.0228^x	0.427	0.654^*	y=0.0305x-0.0422	0.373	0.611	y=1.4972lnx-4.3646	0.388	0.623	y=0.0184x^1.1194	0.446	0.668^*
绿霸星 12号	对照	y=0.7464e^0.0106^x	0.068	0.262	y=0.0163x+0.4704	0.097	0.312	y=0.8761lnx-2.1418	0.087	0.295	y=0.1417x^0.5602	0.059	0.244
甜冠 107	胁迫	y=2.0733e^-0.007^x	0.051	0.227	y=-0.0075x+1.8669	0.031	-0.178	y=-0.276lnx+2.5731	0.017	-0.132	y=4.1916x^-0.266	0.032	-0.180
甜冠 107	对照	y=0.5155e^0.0216^x	0.132	0.365	y=0.0254x+0.3233	0.077	0.278	y=1.4982lnx-4.279	0.091	0.302	y=0.0113x^1.2503	0.152	0.391
经典翠宝	胁迫	y=12.678e^-0.044x	0.214	0.463	y=-0.0674x+4.8192	0.236	-0.486	y=-2.97lnx+13.084	0.230	-0.480	y=2773.8x^-1.937	0.208	-0.457
经典翠宝	对照	y=0.6521e^0.0197^x	0.691	0.832^**	y=0.0378x-0.1446	0.683	0.827^**	y=2.0391lnx-6.2362	0.680	0.825^**	y=0.0271x^1.0642	0.688	0.830^**