TY - JOUR
T1 - Investigation of the influence of leaf thickness on canopy reflectance and physiological traits in upland and pima cotton populations
AU - Pauli, Duke
AU - White, Jeffrey W.
AU - Andrade-Sanchez, Pedro
AU - Conley, Matthew M.
AU - Heun, John
AU - Thorp, Kelly R.
AU - French, Andrew N.
AU - Hunsaker, Douglas J.
AU - Carmo-Silva, Elizabete
AU - Wang, Guangyao
AU - Gore, Michael A.
N1 - Funding Information:
We especially thank Kristen Cox, Bill Luckett, Joel Gilley, Virginia Moreno, Sara Wyckoff, Spencer Fosnot, and Brian Nadon for providing excellent technical expertise. This research was supported by Cotton Incorporated Fellowship (DP) and Core Project Funds (PA and MG), Cornell University startup funds (MG), United States Department of Agriculture–Agricultural Research Service (USDA-ARS) (KT, DH, AF, and JW), and National Science Foundation IOS1238187 (PA and MG). USDA is an equal opportunity provider and employer. Mention of trade names, commercial products, or companies in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the US Department of Agriculture over others not mentioned.
Publisher Copyright:
© 2017 Pauli, White, Andrade-Sanchez, Conley, Heun, Thorp, French, Hunsaker, Carmo-Silva, Wang and Gore.
PY - 2017/8/17
Y1 - 2017/8/17
N2 - Many systems for field-based, high-throughput phenotyping (FB-HTP) quantify and characterize the reflected radiation fromthe crop canopy to derive phenotypes, as well as infer plant function and health status. However, given the technology’s nascent status, it remains unknown how biophysical and physiological properties of the plant canopy impact downstream interpretation and application of canopy reflectance data. In that light, we assessed relationships between leaf thickness and several canopy-associated traits, including normalized difference vegetation index (NDVI), which was collected via active reflectance sensors carried on a mobile FB-HTP system, carbon isotope discrimination (CID), and chlorophyll content. To investigate the relationships among traits, two distinct cotton populations, an upland (Gossypium hirsutum L.) recombinant inbred line (RIL) population of 95 lines and a Pima (G. barbadense L.) population composed of 25 diverse cultivars, were evaluated under contrasting irrigation regimes, water-limited (WL) and well-watered (WW) conditions, across 3 years. We detected four quantitative trait loci (QTL) and significant variation in both populations for leaf thickness among genotypes as well as high estimates of broad-sense heritability (on average, above 0.7 for both populations), indicating a strong genetic basis for leaf thickness. Strong phenotypic correlations (maximum r = −0.73) were observed between leaf thickness and NDVI in the Pima population, but not the RIL population. Additionally, estimated genotypic correlations within the RIL population for leaf thickness with CID, chlorophyll content, and nitrogen discrimination (rgij = −0.32, 0.48, and 0.40, respectively) were all significant under WW but not WL conditions. Economically important fiber quality traits did not exhibit significant phenotypic or genotypic correlations with canopy traits. Overall, our results support considering variation in leaf thickness as a potential contributing factor to variation in NDVI or other canopy traits measured via proximal sensing, and as a trait that impacts fundamental physiological responses of plants.
AB - Many systems for field-based, high-throughput phenotyping (FB-HTP) quantify and characterize the reflected radiation fromthe crop canopy to derive phenotypes, as well as infer plant function and health status. However, given the technology’s nascent status, it remains unknown how biophysical and physiological properties of the plant canopy impact downstream interpretation and application of canopy reflectance data. In that light, we assessed relationships between leaf thickness and several canopy-associated traits, including normalized difference vegetation index (NDVI), which was collected via active reflectance sensors carried on a mobile FB-HTP system, carbon isotope discrimination (CID), and chlorophyll content. To investigate the relationships among traits, two distinct cotton populations, an upland (Gossypium hirsutum L.) recombinant inbred line (RIL) population of 95 lines and a Pima (G. barbadense L.) population composed of 25 diverse cultivars, were evaluated under contrasting irrigation regimes, water-limited (WL) and well-watered (WW) conditions, across 3 years. We detected four quantitative trait loci (QTL) and significant variation in both populations for leaf thickness among genotypes as well as high estimates of broad-sense heritability (on average, above 0.7 for both populations), indicating a strong genetic basis for leaf thickness. Strong phenotypic correlations (maximum r = −0.73) were observed between leaf thickness and NDVI in the Pima population, but not the RIL population. Additionally, estimated genotypic correlations within the RIL population for leaf thickness with CID, chlorophyll content, and nitrogen discrimination (rgij = −0.32, 0.48, and 0.40, respectively) were all significant under WW but not WL conditions. Economically important fiber quality traits did not exhibit significant phenotypic or genotypic correlations with canopy traits. Overall, our results support considering variation in leaf thickness as a potential contributing factor to variation in NDVI or other canopy traits measured via proximal sensing, and as a trait that impacts fundamental physiological responses of plants.
KW - Abiotic stress
KW - Canopy reflectance
KW - Cotton
KW - High-throughput phenotyping
KW - Leaf thickness
KW - Specific leaf weight
UR - http://www.scopus.com/inward/record.url?scp=85029185491&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85029185491&partnerID=8YFLogxK
U2 - 10.3389/fpls.2017.01405
DO - 10.3389/fpls.2017.01405
M3 - Article
AN - SCOPUS:85029185491
SN - 1664-462X
VL - 8
JO - Frontiers in Plant Science
JF - Frontiers in Plant Science
M1 - 1405
ER -