MARC details
| 000 -LEADER |
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| fixed length control field |
03206nab a22004457a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
64463 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20211101203829.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190214s2021 gw |||p|op||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| Source |
0040-5752 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| Source |
1432-2242 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
https://doi.org/10.1007/s00122-021-03926-8 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
MX-TxCIM |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24476 |
| Personal name |
Burns, M.J. |
| 245 10 - TITLE STATEMENT |
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| Title |
Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Berlin (Germany) : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
2021. |
| 500 ## - GENERAL NOTE |
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| General note |
Peer review |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Lack of high-throughput phenotyping systems for determining moisture content during the maize nixtamalization cooking process has led to difficulty in breeding for this trait. This study provides a high-throughput, quantitative measure of kernel moisture content during nixtamalization based on NIR scanning of uncooked maize kernels. Machine learning was utilized to develop models based on the combination of NIR spectra and moisture content determined from a scaled-down benchtop cook method. A linear support vector machine (SVM) model with a Spearman’s rank correlation coefficient of 0.852 between wet laboratory and predicted values was developed from 100 diverse temperate genotypes grown in replicate across two environments. This model was applied to NIR spectra data from 501 diverse temperate genotypes grown in replicate in five environments. Analysis of variance revealed environment explained the highest percent of the variation (51.5%), followed by genotype (15.6%) and genotype-by-environment interaction (11.2%). A genome-wide association study identified 26 significant loci across five environments that explained between 5.04% and 16.01% (average = 10.41%). However, genome-wide markers explained 10.54% to 45.99% (average = 31.68%) of the variation, indicating the genetic architecture of this trait is likely complex and controlled by many loci of small effect. This study provides a high-throughput method to evaluate moisture content during nixtamalization that is feasible at the scale of a breeding program and provides important information about the factors contributing to variation of this trait for breeders and food companies to make future strategies to improve this important processing trait. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
1173 |
| Topical term or geographic name as entry element |
Maize |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
1218 |
| Topical term or geographic name as entry element |
Processing |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
12723 |
| Topical term or geographic name as entry element |
Moisture content |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
6179 |
| Topical term or geographic name as entry element |
Infrared spectrophotometry |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
11127 |
| Topical term or geographic name as entry element |
Machine learning |
| Source of heading or term |
AGROVOC |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24477 |
| Personal name |
Renk, J.S. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24478 |
| Personal name |
Eickholt, D.P. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24479 |
| Personal name |
Gilbert, A.M. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24480 |
| Personal name |
Hattery, T.J. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24481 |
| Personal name |
Holmes, M. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24482 |
| Personal name |
Anderson, N. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24483 |
| Personal name |
Waters, A.J. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24484 |
| Personal name |
Kalambur, S. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
16954 |
| Personal name |
Flint-Garcia, S.A. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24485 |
| Personal name |
Yandeau-Nelson, M.D. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
24486 |
| Personal name |
Annor, G.A. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
15365 |
| Personal name |
Hirsch, C.N. |
| 773 0# - HOST ITEM ENTRY |
|---|
| Place, publisher, and date of publication |
Berlin (Germany) : Springer, 2021. |
| Related parts |
v. 134, no. 11, p. 3743-3757 |
| Title |
Theoretical and Applied Genetics |
| Record control number |
u444762 |
| International Standard Serial Number |
0040-5752 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Article |
| Suppress in OPAC |
No |