Impact of drought stress on leaf chlorophyll content in maize cultivars (Zea mays L.)

Abstract. This study is an experimental research that aims to find out how the response of corn growth (Zea mays) with urea-coated zeolite as nitrogen release slowly, implemented from April to December 2017. The making of fertilizer is done in Biology Laboratory of East III Floor Department of Biology Faculty of Mathematics and Natural Sciences of Makassar State University. The cultivation and maintenance of maize was conducted at Greenhouse of Ecophysiology of Seraca Crops Research Institute (Balitsereal) Maros and Analysis of nitrogen data at Soil Laboratory of Agricultural Technology Assessment Institute (BPTP) Regency. Maros South Sulawesi. This research used Randomized Block Design (RAK) 3 grouping with Control, Urea, Phosphate, Potassium (UPK), UPK Zeolite 10%, UPK Zeolit 30%, and UPK Zeolit 50%. The corn variety used was HJ 21 Agritan. Observation parameters were stem circumference, leaf chlorophyll content, plant biomass (root, stem and leaves), cob weight, ear length, seed weight, leaf nitrogen and seed nitrogen. The technique of data origin is done by using variance analysis technique (F test) / ANOVA at the level of trust α = 0,05%. Then proceed with Duncan's advanced test using SPSS statistic program 20. The results showed that there was an interaction between zeolite-coated urea fertilizer on the yield of cob and corncob with different results on the other treatment. The best results on urea-coated zeolite treatment with 10% concentration. While for stem circumference, leaf chlorophyll content, plant biomass (root, stem and leaf), seed weight, leaf nitrogen and seed nitrogen showed no effect but when viewed the average result of urea coated application of zeolite with the highest 30% concentration.Keywords: The growth of corn, the application of urea zeolite coated, slow release fertilizersp., Thalassiosira sp., Probiotic Bacteria

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The applicability of empirical vegetation indices for determining leaf chlorophyll content over different leaf and canopy structures

Ecological Complexity ◽

10.1016/j.ecocom.2013.11.005 ◽

2014 ◽

Vol 17 ◽

pp. 119-130 ◽

Cited By ~ 68

Author(s):

H. Croft ◽

J.M. Chen ◽

Y. Zhang

Keyword(s):

Chlorophyll Content ◽

Vegetation Indices ◽

Leaf Chlorophyll Content ◽

Leaf Chlorophyll

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The effect of triazole induced photosynthetic pigments and biochemical constituents of Zea mays L. (Maize) under drought stress

Applied Nanoscience ◽

10.1007/s13204-015-0482-y ◽

2015 ◽

Vol 6 (5) ◽

pp. 727-735 ◽

Cited By ~ 8

Author(s):

Mahalingam Rajasekar ◽

Gabriel Amalan Rabert ◽

Paramasivam Manivannan

Keyword(s):

Zea Mays ◽

Drought Stress ◽

Photosynthetic Pigments ◽

Zea Mays L ◽

Biochemical Constituents

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RIL-StEp: epistasis analysis of rice recombinant inbred lines (RILs) reveals candidate interacting genes that control seed hull color and leaf chlorophyll content

G3 Genes|Genome|Genetics ◽

10.1093/g3journal/jkab130 ◽

2021 ◽

Author(s):

Toshiyuki Sakai ◽

Akira Abe ◽

Motoki Shimizu ◽

Ryohei Terauchi

Keyword(s):

Chlorophyll Content ◽

Recombinant Inbred ◽

Complex Traits ◽

Genetic Architecture ◽

Recombinant Inbred Lines ◽

Inbred Lines ◽

Gene Interactions ◽

Leaf Chlorophyll Content ◽

Leaf Chlorophyll ◽

Seed Hull

Abstract Characterizing epistatic gene interactions is fundamental for understanding the genetic architecture of complex traits. However, due to the large number of potential gene combinations, detecting epistatic gene interactions is computationally demanding. A simple, easy-to-perform method for sensitive detection of epistasis is required. Due to their homozygous nature, use of recombinant inbred lines (RILs) excludes the dominance effect of alleles and interactions involving heterozygous genotypes, thereby allowing detection of epistasis in a simple and interpretable model. Here, we present an approach called RIL-StEp (recombinant inbred lines stepwise epistasis detection) to detect epistasis using single nucleotide polymorphisms in the genome. We applied the method to reveal epistasis affecting rice (Oryza sativa) seed hull color and leaf chlorophyll content and successfully identified pairs of genomic regions that presumably control these phenotypes. This method has the potential to improve our understanding of the genetic architecture of various traits of crops and other organisms.

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