分析水分胁迫与水分充足的芝麻（L.）品种的 SPAD 动态及其与种子产量的关系。

Analysing the SPAD dynamics of water-stressed vs. well-watered sesame ( L.) accessions and establishing their relationship with seed yield.

机构信息

Department of Crop Production, ICAR- Indian Institute of Oilseeds Research, Hyderabad, Telangana, India.

Department of Plant Physiology, Acharya N.G. Ranga Agricultural University, Tirupati, Andhra Pradesh, India.

出版信息

PeerJ. 2023 Jan 18;11:e14711. doi: 10.7717/peerj.14711. eCollection 2023.

DOI:10.7717/peerj.14711

PMID:36691485

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9864184/

Abstract

BACKGROUND

The chlorophyll content is susceptible to deficit moisture stress and may affect the plant yield. Leaf chlorophyll content is directly related to tolerance and higher productivity under deficit moisture stress (WS). The SPAD meter is an excellent tool for rapid analysis of crop chlorophyll content. Therefore, establishing a relationship between leaf chlorophyll content and seed yield is crucial in sesame, particularly under deficit moisture stress.

METHODS

Seeds of 37 sesame genotypes with checks were used in this study. These genotypes were mostly landraces, adapted to different agro-ecological zones in India. The selected genotypes were evaluated under well water (WW) and deficit moisture stress (WS) conditions. The SPAD readings were recorded ten (10) times each at every seven days intervals from the juvenile/first bud (30-35 days after sowing) to ripening/ physiological maturity (95-100 days after sowing) stage. This study aimed to identify the association between leaf SPAD readings (recorded at 7-days interval) and seed yield of sesame genotypes.

RESULTS

The analysis of variance revealed the presence of significant variation in SPAD readings due to treatment (WW and WS), genotypes, and their interaction effects. The SPAD readings at all stages were positively correlated with seed yield in both WW and WS. High values of correlation coefficients were observed at 52 (r: 0.672) and 59 (r: 0.655) DAS under WS; whereas at 59 (r: 0.960), 66 (r: 0.972) and 73 (r: 0.974) DAS under WW at one percent significance level ( < 0.01), which coincided with the mid-bloom stage of the sesame crop. The best-fit multiple regression model revealed that the dependence of sesame seed yield is significantly influenced by SPAD reading at 52 DAS under WS and 59 to 73 DAS under WW. Both these models provide a good fit with the chi-squared test, which compares the predicted and observed yield.

摘要

背景

叶绿素含量易受亏缺水分胁迫的影响，可能会影响植物的产量。叶片叶绿素含量与亏缺水分胁迫（WS）下的植物耐性和更高的生产力直接相关。SPAD 计是一种快速分析作物叶绿素含量的优秀工具。因此，在芝麻中建立叶片叶绿素含量与种子产量之间的关系至关重要，特别是在亏缺水分胁迫下。

方法

本研究使用了 37 个芝麻基因型的种子，其中包括对照。这些基因型大多是适应印度不同农业生态区的地方品种。选择的基因型在充分供水（WW）和亏缺水分胁迫（WS）条件下进行评估。从幼芽/第一芽期（播种后 30-35 天）到成熟/生理成熟期（播种后 95-100 天）每隔七天记录十次（10 次）SPAD 读数。本研究旨在确定叶片 SPAD 读数（每隔 7 天记录一次）与芝麻基因型种子产量之间的关联。

结果

方差分析表明，由于处理（WW 和 WS）、基因型及其互作效应，SPAD 读数存在显著差异。在 WW 和 WS 下，各阶段的 SPAD 读数与种子产量均呈正相关。在 WS 下的 52 天（r：0.672）和 59 天（r：0.655），以及在 WW 下的 59 天（r：0.960）、66 天（r：0.972）和 73 天（r：0.974），观察到高相关系数，在百分之一显著水平（<0.01），这与芝麻作物的盛花期相吻合。最佳拟合多元回归模型表明，在 WS 下的 52 天和 WW 下的 59 至 73 天的 SPAD 读数对芝麻种子产量的依赖性有显著影响。这两个模型都与卡方检验吻合良好，卡方检验用于比较预测产量和实际产量。