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Comparative assessment of einkorn and emmer wheat phenomes: III. Phenology

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Abstract

In-depth information on plant phenology of einkorn (Triticum monococcum L. subsp. monococcum) and emmer, (Triticum turgidum subsp. dicoccun (Schrank) Thell) germplasm is indispensable for better utilization of their available genetic resources as underutilized crops, especially under abiotic stress. Whereas; optimization of their phenology is one of the most effective strategies to achieve this goal as it is a key factor for crop adaptation under abiotic stress. The objectives of this study were to integrate quantitative phenotyping methods to describe and explain phenotypic and genotypic differences or similarities in phenological stages within vegetative and reproductive growth phases between einkorn and emmer germplasm; identify combinations of discriminating traits between einkorn and emmer germplasm at successive phenological growth stages; and estimate multivariate distances between einkorn and emmer germplasm based on their geographical sources and stage of genetic improvement. The evaluated germplasm represented a wide range of geographical origins in the Fertile Crescent of West Asia, East Africa, West and East Europe, and North America. The study developed a method for accurate estimation of synchrony and duration of phenological growth stages of the diverse germplasm; and presented a ‘sliding’ scale capable of discriminating between different ‘maturity classes’ of the species on the basis of five phenology indicators, vis: growing degree days in conjunction with plant height, normalized difference vegetative index, color space coordinates, and green gradient-based canopy segmentation. Reliable relationship was established between visual scoring and color measurements of plants based on digital images at different growth stages. This relationship may become useful for research and crop management in resource-limited areas. Accurate prediction of phenological growth stages of einkorn and emmer wheat is essential, not only for ideotype development through simulation and modeling of weather and management effects, but also to help establish a cottage industry to benefit small-scale farmers, and to improve and maintain high-quality end products from these underutilized wheat genetic resources.

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Abbreviations

a:

Green (negative)–Reddish (positive) color space coordinate

b:

Blueish (negative)–Yellowish (positive) color space coordinate

BT:

Boosted trees

CFA:

Confirmatory factor analysis

C:N:

Carbon-to-nitrogen ratio

CIELab:

Combined color space coordinates

ECa:

Apparent soil electrical conductivity (dS m−1)

EGV:

Early growth vigor

GCV:

Genotypic coefficient of variation

GDD:

Thermal time in growing degree days

GFP:

Grain filling period

GS31:

Early stem elongation stage

GS39:

Late stem elongation stage

GS49:

Booting stage

GS57:

Heading stage

GS65:

Anthesis stage

GS89:

Physiological maturity stage

GYI:

Grain yield index

h 2 :

Narrow-sense heritability estimate

L:

Dark (zero)–White (100) color space coordinate

Lab:

Color space coordinates (i.e., combined estimates of L, a, and b, above)

MDS:

Multi-dimensional scaling

NDVI:

Normalized difference vegetation index

PGR:

Plant genetic resources

PH:

Plant height

PTQ:

Photothermal quotient

PC:

Principal component

PCV:

Phenotypic coefficient of variation

PLSR:

Partial least squares regression

RGB:

Red, green, blue light spectrum

RMA:

Reduced major axis

RUE:

Radiation use efficiency (g MJ−1)

SI:

Senescence index

SPAD:

Soil plant area development

SG:

Stay green

SVM:

Support vector machine

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Acknowledgements

This research was supported by USDA Project Number 5060-21220-005-D. Thanks are due to support staff at the North Central Soil Conservation Research Lab., Morris, MN. USDA is an equal-opportunity provider and employer.

Funding

This study was funded by USDA Project Number: 5060-21220-005-D.

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Correspondence to Abdullah A. Jaradat.

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The author declares that he has no conflict of interest.

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Jaradat, A.A. Comparative assessment of einkorn and emmer wheat phenomes: III. Phenology. Genet Resour Crop Evol 66, 1727–1760 (2019). https://doi.org/10.1007/s10722-019-00816-3

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  • DOI: https://doi.org/10.1007/s10722-019-00816-3

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