In-Season Prediction of Corn Yield Using Plant Height under Major Production Systems

The relationship between corn (Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to assess the relationship of corn yield with plant height under four major corn production systems at Milan, TN from 2008 through 2010. Six N trea...

Full description

Saved in:
Bibliographic Details
Published inAgronomy journal Vol. 103; no. 3; pp. 923 - 929
Main Authors Yin, Xinhua, McClure, M. Angela, Jaja, Ngowari, Tyler, Donald D, Hayes, Robert M
Format Journal Article
LanguageEnglish
Published Madison American Society of Agronomy 01.05.2011
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The relationship between corn (Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to assess the relationship of corn yield with plant height under four major corn production systems at Milan, TN from 2008 through 2010. Six N treatments at rates of 0, 62, 123, 185, 247, and 308 kg N ha−1 with four replications were evaluated in a randomized complete block design in the following corn production systems: nonirrigated corn after corn, nonirrigated corn after soybean [Glycine max (L.) Merr.], nonirrigated corn after cotton [Gossypium hirsutum (L.)], and irrigated corn after soybean. The regression of corn yield with plant height was significant and positive at 6-leaf growth stage (V6), 10-leaf growth stage (V10), and 12-leaf growth stage (V12), and mostly became stronger as plant growth progressed from V6 to V10 and to V12 under an exponential model in the four corn production systems for all 3 yr. In general, corn yield was strongly related with plant height measurements made at V10 and V12. Factors affecting the responses of plant height measured at V6, V10, and V12 or/and yield to the N treatments may have contributed to the variations of determination coeffient (R 2) values across years. In conclusion, corn yield may be predicted with plant height measurements collected during V10 to V12. This prediction provides a physiological basis for the utilization of high resolution plant height measurements to guide variable-rate N applications within the field on corn at around V10 and to more accurately estimate yield for earlier grain marketing purposes.
AbstractList The relationship between corn (Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to assess the relationship of corn yield with plant height under four major corn production systems at Milan, TN from 2008 through 2010. Six N treatments at rates of 0, 62, 123, 185, 247, and 308 kg N ha−1 with four replications were evaluated in a randomized complete block design in the following corn production systems: nonirrigated corn after corn, nonirrigated corn after soybean [Glycine max (L.) Merr.], nonirrigated corn after cotton [Gossypium hirsutum (L.)], and irrigated corn after soybean. The regression of corn yield with plant height was significant and positive at 6-leaf growth stage (V6), 10-leaf growth stage (V10), and 12-leaf growth stage (V12), and mostly became stronger as plant growth progressed from V6 to V10 and to V12 under an exponential model in the four corn production systems for all 3 yr. In general, corn yield was strongly related with plant height measurements made at V10 and V12. Factors affecting the responses of plant height measured at V6, V10, and V12 or/and yield to the N treatments may have contributed to the variations of determination coeffient (R 2) values across years. In conclusion, corn yield may be predicted with plant height measurements collected during V10 to V12. This prediction provides a physiological basis for the utilization of high resolution plant height measurements to guide variable-rate N applications within the field on corn at around V10 and to more accurately estimate yield for earlier grain marketing purposes.
The relationship between corn (Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to assess the relationship of corn yield with plant height under four major corn production systems at Milan, TN from 2008 through 2010. Six N treatments at rates of 0, 62, 123, 185, 247, and 308 kg N ha−1 with four replications were evaluated in a randomized complete block design in the following corn production systems: nonirrigated corn after corn, nonirrigated corn after soybean [Glycine max (L.) Merr.], nonirrigated corn after cotton [Gossypium hirsutum (L.)], and irrigated corn after soybean. The regression of corn yield with plant height was significant and positive at 6‐leaf growth stage (V6), 10‐leaf growth stage (V10), and 12‐leaf growth stage (V12), and mostly became stronger as plant growth progressed from V6 to V10 and to V12 under an exponential model in the four corn production systems for all 3 yr. In general, corn yield was strongly related with plant height measurements made at V10 and V12. Factors affecting the responses of plant height measured at V6, V10, and V12 or/and yield to the N treatments may have contributed to the variations of determination coeffient (R 2) values across years. In conclusion, corn yield may be predicted with plant height measurements collected during V10 to V12. This prediction provides a physiological basis for the utilization of high resolution plant height measurements to guide variable‐rate N applications within the field on corn at around V10 and to more accurately estimate yield for earlier grain marketing purposes.
The relationship between corn (Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to assess the relationship of corn yield with plant height under four major corn production systems at Milan, TN from 2008 through 2010. Six N treatments at rates of 0, 62, 123, 185, 247, and 308 kg N ha⁻¹ with four replications were evaluated in a randomized complete block design in the following corn production systems: nonirrigated corn after corn, nonirrigated corn after soybean [Glycine max (L.) Merr.], nonirrigated corn after cotton [Gossypium hirsutum (L.)], and irrigated corn after soybean. The regression of corn yield with plant height was significant and positive at 6-leaf growth stage (V6), 10-leaf growth stage (V10), and 12-leaf growth stage (V12), and mostly became stronger as plant growth progressed from V6 to V10 and to V12 under an exponential model in the four corn production systems for all 3 yr. In general, corn yield was strongly related with plant height measurements made at V10 and V12. Factors affecting the responses of plant height measured at V6, V10, and V12 or/and yield to the N treatments may have contributed to the variations of determination coeffient (R ²) values across years. In conclusion, corn yield may be predicted with plant height measurements collected during V10 to V12. This prediction provides a physiological basis for the utilization of high resolution plant height measurements to guide variable-rate N applications within the field on corn at around V10 and to more accurately estimate yield for earlier grain marketing purposes.
The relationship between corn ( Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to assess the relationship of corn yield with plant height under four major corn production systems at Milan, TN from 2008 through 2010. Six N treatments at rates of 0, 62, 123, 185, 247, and 308 kg N ha −1 with four replications were evaluated in a randomized complete block design in the following corn production systems: nonirrigated corn after corn, nonirrigated corn after soybean [ Glycine max (L.) Merr.], nonirrigated corn after cotton [ Gossypium hirsutum (L.)], and irrigated corn after soybean. The regression of corn yield with plant height was significant and positive at 6‐leaf growth stage (V6), 10‐leaf growth stage (V10), and 12‐leaf growth stage (V12), and mostly became stronger as plant growth progressed from V6 to V10 and to V12 under an exponential model in the four corn production systems for all 3 yr. In general, corn yield was strongly related with plant height measurements made at V10 and V12. Factors affecting the responses of plant height measured at V6, V10, and V12 or/and yield to the N treatments may have contributed to the variations of determination coeffient ( R 2 ) values across years. In conclusion, corn yield may be predicted with plant height measurements collected during V10 to V12. This prediction provides a physiological basis for the utilization of high resolution plant height measurements to guide variable‐rate N applications within the field on corn at around V10 and to more accurately estimate yield for earlier grain marketing purposes.
Author Hayes, Robert M
Yin, Xinhua
Tyler, Donald D
Jaja, Ngowari
McClure, M. Angela
Author_xml – sequence: 1
  fullname: Yin, Xinhua
– sequence: 2
  fullname: McClure, M. Angela
– sequence: 3
  fullname: Jaja, Ngowari
– sequence: 4
  fullname: Tyler, Donald D
– sequence: 5
  fullname: Hayes, Robert M
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24190468$$DView record in Pascal Francis
BookMark eNqFks1r2zAYh8XoYOnHeceZwWAXr_q2fRohbGlL15alOewkFPlVpuBInWQz8t9PxhmFwthJX8_z45VenaITHzwg9JbgT5Qwfqm3MfgdxXmNucCv0IxwJkosuThBM4wxLUkj6Rt0mtIOY0IaTmbo8dqXK9Ap-OIhQutM7_I02GIRoi9-OOjaYp2c3xYPnfZ9cQVu-7MvBt9CLL7pXYjZC-0weatD6mGfztFrq7sEF8fxDK2_fnlcXJW398vrxfy2NJwQXIoNE0JUrSVgJRHcVm0taMOaFgwHSyq-ka2lkhtRC2s3DGQGLVTC8NpUwM7Qxyn3KYZfA6Re7V0y0OVKIQxJESmZqCljMqPvX6C7MESfq1O1rBpCOK0y9OEI6WR0Z6P2xiX1FN1ex4OinDSYyzpzYuJMDClFsMq4Xo8v0EftOkWwGluinluixpZk7_KF9zf638bnyfjtOjj8D1fz5Q2dL7_f392Me8eEd1OC1WHk833Wq3wq8o8QlGLM_gB676yj
CODEN AGJOAT
CitedBy_id crossref_primary_10_3390_rs61110335
crossref_primary_10_1080_01431161_2017_1410300
crossref_primary_10_1186_s13007_022_00861_7
crossref_primary_10_3390_rs15061520
crossref_primary_10_1016_j_compag_2017_09_024
crossref_primary_10_3390_plants13081085
crossref_primary_10_1155_2020_9587569
crossref_primary_10_4236_as_2012_32035
crossref_primary_10_1016_j_still_2019_01_007
crossref_primary_10_1371_journal_pgen_1008367
crossref_primary_10_3390_agriengineering6030185
crossref_primary_10_1002_tpg2_20102
crossref_primary_10_1016_j_agwat_2019_03_014
crossref_primary_10_1017_S1074070800005198
crossref_primary_10_1002_csc2_20710
crossref_primary_10_1002_jsfa_4477
crossref_primary_10_1111_tpj_17092
crossref_primary_10_1111_pbi_13392
crossref_primary_10_1016_j_compag_2016_04_016
crossref_primary_10_1017_aae_2014_4
crossref_primary_10_1007_s11119_024_10121_4
crossref_primary_10_1371_journal_pone_0297027
crossref_primary_10_1016_j_agsy_2014_01_001
crossref_primary_10_3390_s23146506
crossref_primary_10_2135_cropsci2019_04_0206
crossref_primary_10_1016_j_eja_2021_126349
crossref_primary_10_1016_j_fcr_2013_04_017
crossref_primary_10_3389_fpls_2021_652116
crossref_primary_10_1016_j_agsy_2023_103684
crossref_primary_10_1080_1343943X_2021_1943464
crossref_primary_10_2134_agronj2012_0393
crossref_primary_10_1111_sum_12697
crossref_primary_10_1016_j_compag_2023_108374
crossref_primary_10_1002_ppj2_20044
crossref_primary_10_3390_agronomy12092125
crossref_primary_10_1016_j_atech_2022_100153
crossref_primary_10_3390_rs12193121
crossref_primary_10_1002_ppj2_20003
crossref_primary_10_3390_rs10040543
crossref_primary_10_3390_rs10122007
crossref_primary_10_1007_s11119_013_9330_9
crossref_primary_10_1016_j_eja_2020_126159
crossref_primary_10_3390_agronomy10050633
crossref_primary_10_2135_tppj2019_02_0004
crossref_primary_10_1002_jsfa_5700
crossref_primary_10_3390_rs11101239
crossref_primary_10_3389_fpls_2025_1488760
crossref_primary_10_1117_1_JRS_11_036013
crossref_primary_10_3390_rs10111798
crossref_primary_10_1002_pld3_230
crossref_primary_10_3389_fpls_2017_02002
crossref_primary_10_1080_2150704X_2024_2360698
crossref_primary_10_1186_s12866_022_02731_7
crossref_primary_10_1016_j_still_2015_06_002
crossref_primary_10_1117_1_JRS_13_034503
crossref_primary_10_2134_agronj2018_07_0440
crossref_primary_10_1016_j_fcr_2016_07_024
crossref_primary_10_2134_agronj14_0546
crossref_primary_10_1093_g3journal_jkab075
crossref_primary_10_3390_horticulturae10050480
crossref_primary_10_1007_s11119_017_9501_1
crossref_primary_10_1016_j_compag_2024_108669
crossref_primary_10_1071_CP16238
crossref_primary_10_2134_agronj2012_0206
crossref_primary_10_3390_rs8120973
crossref_primary_10_1016_j_engappai_2024_107867
crossref_primary_10_3389_fpls_2019_00926
crossref_primary_10_1080_03650340_2014_941822
crossref_primary_10_3390_rs14040810
crossref_primary_10_1002_pld3_223
crossref_primary_10_2134_agronj14_0173
crossref_primary_10_3390_rs9070647
crossref_primary_10_1016_j_atech_2023_100276
crossref_primary_10_1007_s10705_014_9640_y
crossref_primary_10_1002_csc2_20644
crossref_primary_10_1016_j_rse_2019_111599
Cites_doi 10.1080/00103628909368178
10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2
10.2134/agronj2003.1000
10.2134/agronj2000.923395x
10.1023/A:1009940700478
10.2134/agronj1999.00021962009100030001x
10.2134/agronj2006.0135
10.2134/agronj2002.4350
10.2135/cropsci2002.1564
10.1080/00103620009370527
ContentType Journal Article
Copyright Copyright © 2011 by the American Society of Agronomy
2015 INIST-CNRS
Copyright American Society of Agronomy May 2011
Copyright_xml – notice: Copyright © 2011 by the American Society of Agronomy
– notice: 2015 INIST-CNRS
– notice: Copyright American Society of Agronomy May 2011
DBID FBQ
AAYXX
CITATION
IQODW
3V.
7X2
7XB
88I
8FE
8FG
8FH
8FK
8G5
ABJCF
ABUWG
AEUYN
AFKRA
ATCPS
AZQEC
BEC
BENPR
BGLVJ
BHPHI
CCPQU
DWQXO
GNUQQ
GUQSH
HCIFZ
L6V
M0K
M2O
M2P
M7S
MBDVC
PATMY
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PTHSS
PYCSY
Q9U
S0X
7S9
L.6
DOI 10.2134/agronj2010.0450
DatabaseName AGRIS
CrossRef
Pascal-Francis
ProQuest Central (Corporate)
Agricultural Science Collection
ProQuest Central (purchase pre-March 2016)
Science Database (Alumni Edition)
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Natural Science Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Research Library
ProQuest Materials Science & Engineering
ProQuest Central (Alumni)
ProQuest One Sustainability (subscription)
ProQuest Central UK/Ireland
Agricultural & Environmental Science Collection
ProQuest Central Essentials
eLibrary
ProQuest Central
Technology collection
Natural Science Collection
ProQuest One
ProQuest Central Korea
ProQuest Central Student
ProQuest Research Library
SciTech Premium Collection
ProQuest Engineering Collection
Agricultural Science Database
Research Library
Science Database
Engineering Database
Research Library (Corporate)
Environmental Science Database
ProQuest Central Premium
ProQuest One Academic
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Engineering collection
Environmental Science Collection
ProQuest Central Basic
SIRS Editorial
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
Agricultural Science Database
Research Library Prep
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
SIRS Editorial
elibrary
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
Research Library (Alumni Edition)
ProQuest Natural Science Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
ProQuest Engineering Collection
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
ProQuest Research Library
ProQuest Central (New)
Engineering Collection
Engineering Database
ProQuest Science Journals (Alumni Edition)
ProQuest Central Basic
ProQuest Science Journals
ProQuest One Academic Eastern Edition
Agricultural Science Collection
ProQuest Technology Collection
ProQuest SciTech Collection
Environmental Science Collection
ProQuest One Academic UKI Edition
Materials Science & Engineering Collection
Environmental Science Database
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList

AGRICOLA
CrossRef
Database_xml – sequence: 1
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
– sequence: 2
  dbid: FBQ
  name: AGRIS
  url: http://www.fao.org/agris/Centre.asp?Menu_1ID=DB&Menu_2ID=DB1&Language=EN&Content=http://www.fao.org/agris/search?Language=EN
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
EISSN 1435-0645
EndPage 929
ExternalDocumentID 2353979451
24190468
10_2134_agronj2010_0450
AGJ2AGRONJ20100450
US201500052200
Genre article
General Information
GeographicLocations Tennessee
GeographicLocations_xml – name: Tennessee
GroupedDBID -~X
.86
0R~
186
1OB
1OC
23M
2WC
33P
5GY
6J9
6KN
7X2
7XC
88I
8FE
8FG
8FH
8FW
8G5
8R4
8R5
AABCJ
AAHBH
AAHHS
AAHQN
AAMNL
AANLZ
AAYCA
ABCQX
ABCUV
ABEFU
ABJCF
ABJNI
ABRSH
ABUWG
ACAWQ
ACCFJ
ACCZN
ACGFO
ACGOD
ACIWK
ACPOU
ACQAM
ACXQS
ADFRT
ADKYN
ADMHG
ADZMN
ADZOD
AEEZP
AEIGN
AENEX
AEQDE
AETEA
AEUYN
AEUYR
AFFPM
AFKRA
AFRAH
AFWVQ
AGHNM
AHBTC
AI.
AIDBO
AITYG
AIURR
AIWBW
AJBDE
ALMA_UNASSIGNED_HOLDINGS
ALUQN
ALVPJ
AMYDB
ATCPS
AZQEC
BCR
BCU
BEC
BENPR
BES
BFHJK
BGLVJ
BHPHI
BLC
BPHCQ
C1A
CCPQU
D0L
DCZOG
DROCM
DWQXO
E3Z
EBS
ECGQY
EJD
F5P
FBQ
GNUQQ
GUQSH
H13
HCIFZ
HF~
HGLYW
L6V
L7B
LAS
LATKE
LEEKS
LPU
M0K
M2O
M2P
M7S
MEWTI
MV1
NEJ
NHAZY
NHB
O9-
P2P
PATMY
PEA
PHGZT
PQQKQ
PROAC
PTHSS
PYCSY
Q2X
QF4
QM4
QN7
ROL
RPX
RWL
S0X
SAMSI
SJFOW
SJN
SUPJJ
TAE
TR2
TWZ
U2A
VH1
VOH
WOQ
WXSBR
Y6R
YR5
YYP
ZCG
~02
~KM
.~0
3V.
AAYXX
AEYWJ
AGYGG
CITATION
PHGZM
AAMMB
AEFGJ
AGXDD
AIDQK
AIDYY
IQODW
PQGLB
7XB
8FK
MBDVC
PKEHL
PQEST
PQUKI
PRINS
PUEGO
Q9U
7S9
L.6
ID FETCH-LOGICAL-c4110-5b35557df1ef6154f7d852939dec4ef174b6df264c585ffb3e6ef6fe75c48c7e3
IEDL.DBID BENPR
ISSN 0002-1962
IngestDate Fri Jul 11 09:32:34 EDT 2025
Sat Aug 23 14:36:43 EDT 2025
Mon Jul 21 09:16:20 EDT 2025
Tue Jul 01 02:42:33 EDT 2025
Thu Apr 24 22:58:46 EDT 2025
Wed Jan 22 16:38:28 EST 2025
Thu Apr 03 09:45:28 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Production system
Monocotyledones
Vegetals
Zea mays
Prediction
C4-Type
Dimension
Cereal crop
Gramineae
Agronomy
Angiospermae
Spermatophyta
Yield
Season
Plant height
Language English
License CC BY 4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c4110-5b35557df1ef6154f7d852939dec4ef174b6df264c585ffb3e6ef6fe75c48c7e3
Notes http://dx.doi.org/10.2134/agronj2010.0450
All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.
SourceType-Scholarly Journals-1
ObjectType-General Information-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
PQID 867911427
PQPubID 27317
PageCount 7
ParticipantIDs proquest_miscellaneous_1663582336
proquest_journals_867911427
pascalfrancis_primary_24190468
crossref_citationtrail_10_2134_agronj2010_0450
crossref_primary_10_2134_agronj2010_0450
wiley_primary_10_2134_agronj2010_0450_AGJ2AGRONJ20100450
fao_agris_US201500052200
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate May 2011
PublicationDateYYYYMMDD 2011-05-01
PublicationDate_xml – month: 05
  year: 2011
  text: May 2011
PublicationDecade 2010
PublicationPlace Madison
PublicationPlace_xml – name: Madison
– name: Madison, WI
PublicationTitle Agronomy journal
PublicationYear 2011
Publisher American Society of Agronomy
Publisher_xml – name: American Society of Agronomy
References 1989; 20
2011
2002; 42
2010
2002; 94
2000; 31
1998
2000; 92
1995
2003
1999; 1
2002
2007; 99
2003; 95
1999; 91
1998; 8
e_1_2_5_9_1
e_1_2_5_8_1
e_1_2_5_11_1
e_1_2_5_7_1
Wiebold B. (e_1_2_5_18_1) 2010
e_1_2_5_6_1
e_1_2_5_13_1
Leib B.G. (e_1_2_5_5_1) 2011
e_1_2_5_4_1
Vetch J.A. (e_1_2_5_16_1) 1995
e_1_2_5_3_1
e_1_2_5_2_1
e_1_2_5_1_1
Watson M.E. (e_1_2_5_17_1) 1998
Savoy H.J. (e_1_2_5_10_1) 2010
USDA (e_1_2_5_14_1) 2010
USEPA (e_1_2_5_15_1) 2003
Shrestha D.S. (e_1_2_5_12_1) 2002
References_xml – year: 2011
– volume: 99
  start-page: 530
  year: 2007
  end-page: 536
  article-title: By‐plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height
  publication-title: Agron. J.
– volume: 95
  start-page: 1000
  year: 2003
  end-page: 1011
  article-title: Spatial growth and nitrogen uptake variability of corn at two nitrogen levels
  publication-title: Agron. J.
– volume: 42
  start-page: 1564
  year: 2002
  end-page: 1576
  article-title: Spatial and temporal variability of corn growth and grain yield: Implications for site‐specific farming
  publication-title: Crop Sci.
– volume: 20
  start-page: 1707
  year: 1989
  end-page: 1726
  article-title: Comparison of mehlich 1 and mehlich 3 extractants for P, K, Ca, Mg, Mn, Cu and Zn in Atlantic coastal plain soils
  publication-title: Commun. Soil Sci. Plant Anal.
– volume: 92
  start-page: 395
  year: 2000
  end-page: 402
  article-title: Site‐specific analysis of a droughted corn crop: I. Growth and grain yield
  publication-title: Agron. J.
– volume: 94
  start-page: 435
  year: 2002
  end-page: 441
  article-title: Corn yield response to nitrogen fertilizer timing and deficiency level
  publication-title: Agron. J.
– year: 2002
– start-page: 13
  year: 1998
  end-page: 16
– volume: 8
  start-page: 559
  year: 1998
  end-page: 568
  article-title: Nonpoint pollution of surface waters with nitrogen and phosphorus
  publication-title: Ecol. Applic.
– year: 2003
– volume: 31
  start-page: 1599
  year: 2000
  end-page: 1620
  article-title: Efficient use of nutrients in agricultural production systems
  publication-title: Commun. Soil Sci. Plant Anal.
– volume: 91
  start-page: 357
  year: 1999
  end-page: 363
  article-title: Improving nitrogen use efficiency for cereal production
  publication-title: Agron. J.
– year: 1995
– volume: 1
  start-page: 15
  year: 1999
  end-page: 25
  article-title: Interpreting within‐field relationships between crop yields and soil and plant variables using factor analysis
  publication-title: Prec. Agric.
– year: 2010
– ident: e_1_2_5_13_1
  doi: 10.1080/00103628909368178
– volume-title: Chapter II. Agronomic crops
  year: 2010
  ident: e_1_2_5_10_1
– start-page: 13
  volume-title: Recommended chemical soil test procedures for the north central region
  year: 1998
  ident: e_1_2_5_17_1
– ident: e_1_2_5_1_1
  doi: 10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2
– volume-title: National management measures for the control of nonpoint source pollution from agriculture
  year: 2003
  ident: e_1_2_5_15_1
– volume-title: Management of irrigation systems in Tennessee (MOIST) spreadsheet
  year: 2011
  ident: e_1_2_5_5_1
– ident: e_1_2_5_4_1
  doi: 10.2134/agronj2003.1000
– ident: e_1_2_5_9_1
  doi: 10.2134/agronj2000.923395x
– volume-title: Fertilizer use and price: Table 7. Average U.S. farm prices of selected fertilizers
  year: 2010
  ident: e_1_2_5_14_1
– ident: e_1_2_5_7_1
  doi: 10.1023/A:1009940700478
– ident: e_1_2_5_8_1
  doi: 10.2134/agronj1999.00021962009100030001x
– ident: e_1_2_5_2_1
  doi: 10.2134/agronj2006.0135
– volume-title: Plant height estimation using two sensing systems
  year: 2002
  ident: e_1_2_5_12_1
– ident: e_1_2_5_11_1
  doi: 10.2134/agronj2002.4350
– volume-title: Site‐specific management for agricultural systems
  year: 1995
  ident: e_1_2_5_16_1
– volume-title: Growing degree days and corn maturity
  year: 2010
  ident: e_1_2_5_18_1
– ident: e_1_2_5_6_1
  doi: 10.2135/cropsci2002.1564
– ident: e_1_2_5_3_1
  doi: 10.1080/00103620009370527
SSID ssj0011941
Score 2.298774
Snippet The relationship between corn (Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to...
The relationship between corn ( Zea mays L.) yield and plant height has been poorly documented in major corn production systems. This study was conducted to...
SourceID proquest
pascalfrancis
crossref
wiley
fao
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 923
SubjectTerms Agronomy. Soil science and plant productions
Biological and medical sciences
corn
cotton
crop yield
fertilizer rates
Fundamental and applied biological sciences. Psychology
Glycine max
Gossypium hirsutum
irrigation
nitrogen
plant growth
plant response
prediction
production technology
soybeans
Tennessee
Zea mays
Title In-Season Prediction of Corn Yield Using Plant Height under Major Production Systems
URI https://onlinelibrary.wiley.com/doi/abs/10.2134%2Fagronj2010.0450
https://www.proquest.com/docview/867911427
https://www.proquest.com/docview/1663582336
Volume 103
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1Nb9swDCWW9LIdhn2iXrdAA3bYxWvjyLJ6GrKiSRagWdE2QHcSZJkqVgx2a6f_v6SteO1h28EX2bINUhIfKeoR4JOyKvPekltSOBdLRB3rMR7EiSvI3Di6LIcGTlZqsZbLy_Qy5OY0Ia1yuya2C3VROY6R7zMxHJ_7zL7e3MZcNIo3V0MFjQHs0Aqs9RB2vh2vTs_6bQTy0Mdb_EtDLem4fZjEbN9e1VV53aV2ST51_8AsDbytOEnSNiQn3xW4eIRAH-LY1hDNXsDzgCDFtFP5S3iC5St4Nr2qA4sGvoaL72V8jpagtDiteSeGpS8qL46quhQ_OWlNtLkCgmsWbcSijY8KPk9WixN7XdXUr2WC5X6B1PwNrGfHF0eLOJRPiJ0kox6nOWGJNCv8GD3hFumzQqdk3Q8LdBI9uSK5KjwBIkcug_f5BBU96DFLndQuw8lbGJZVibsglHIolfQ6Q3LXDlSeO2udYq5Cm-faR_BlKz3jArc4l7j4bcjHYHGbP-I2LO4IPvcdbjpajb8_ukvq4NZfjVmfJxyi4WA2Te8IRo901L-KYMkhOf46gr2t0kyYm43pR1IEH_u7NKl4p8SWWN01Zsw4TCeTiYpAt7r-31-a6XyZTOdnP1ZLbuOmd__8-B487cLTnDv5Hoab-g4_EL7Z5CMY6Nl8FMbyPfSd9zU
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB615QAcKp5qWihGAolL6CZxnOwBVavCvtpdEN2Vysk4jl1RVUmbbIX4Uf2PzORFewBOPeTixNnVzMTzeTzzDcAboURkrcJtSaq1y42J3dgzPdfXKbobjZei0MBsLsZLPj0JT9bguq2FobTKdk2sFuo01xQj3yNiOKr7jPYvLl1qGkWHq20HjdoqDs2vn7hjKz9MPqJ63_r-8NPiYOw2TQVczdHVuWGCHjaMUusZi96c2yiNQ_R5_dRobiwC9ESkFmGCRiBtbRIYgQ9aE4WaxzoyAb53He7xAB05FaYPR92hhdfnXou20bD9mkmIKNP21GmRZ2d1IhmnGv8bTnDdqpxSMlWJWrF1O41bePcmaq7c3vARbDZ4lQ1qA3sMayZ7Ag8Hp0XD2WGewmKSucdGIXBnXwo69yFds9yyg7zI2DdKkWNVZgKjDkkrNq6isYyq1wo2U2d5gfMq3lma11CoP4Plncj1OWxkeWa2gAmhDRfcxpHBzWFPJIlWSgtiRlRJElsH3rfSk7phMqeGGucSdzQkbvlH3JLE7cC7bsJFTeLx90e3UB00-qOUy2OfAkIUOsfFxIHdWzrqXoUgqN_jInZgp1WabFaCUnZ268Dr7i5-wnQuozKTX5XSI9QX-0EgHIgrXf_vX8rBaOoPRl8_z6c0RkPb__zxV3B_vJgdyaPJ_HAHHtSBccrafAEbq-LKvERktUp2K3tm8P2uP6Df0q4ylA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB61qYTggMpLNaXtIoHExSR21mvngFD6SJOUhqhtpPa0rNe7FRWyi50K8dP4d8z4RXsATj3ksvE60czszjezs98AvBFKhNYqDEsSrV1uTORGnum5vk7Q3Wj8KEoNHM_EeMGn58H5Cvxq7sJQWWWzJ5YbdZJpypF3iRiO7n2GXVtXRcz3Rx-vv7vUQIoOWptuGpWFHJmfPzB6Kz5M9lHVb31_dHC2N3brBgOu5uj23CBGbxuEifWMRc_ObZhEAfq_QWI0NxbBeiwSi5BBI6i2Nu4bgQ9aEwaaRzo0fXzvKqyFFBR1YG33YDY_aY8wvAH3GuyNZu5XvEJEoNZVl3mWXlVlZZxu_N9yiatWZVSgqQrUka2aa9xBv7cxdOkER-vwuEavbFiZ2xNYMelTeDS8zGsGD_MMziape2oUwng2z-kUiDTPMsv2sjxlF1Qwx8o6BUb9kpZsXOZmGd1ly9mxuspynFey0NK8mlD9OSzuRbIvoJNmqdkAJoQ2XHAbhQZDxZ6IY62UFsSTqOI4sg68b6Qndc1rTu01vkmMb0jc8o-4JYnbgXfthOuK0uPvj26gOmj0ayEXpz6lhyiRjluLA9t3dNS-CiHRoMdF5MBmozRZ7wuFbK3Ygdftt7ig6ZRGpSa7KaRHGDDy-33hQFTq-n__Ug4Pp_7w8OTzbEpjNPTynz--Aw9w8chPk9nRJjyssuRUwvkKOsv8xmwhzFrG27VBM_hy32voN17mOCY
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=In%E2%80%90Season+Prediction+of+Corn+Yield+Using+Plant+Height+under+Major+Production+Systems&rft.jtitle=Agronomy+journal&rft.au=Yin%2C+Xinhua&rft.au=McClure%2C+M.+Angela&rft.au=Jaja%2C+Ngowari&rft.au=Tyler%2C+Donald+D.&rft.date=2011-05-01&rft.issn=0002-1962&rft.eissn=1435-0645&rft.volume=103&rft.issue=3&rft.spage=923&rft.epage=929&rft_id=info:doi/10.2134%2Fagronj2010.0450&rft.externalDBID=n%2Fa&rft.externalDocID=10_2134_agronj2010_0450
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0002-1962&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0002-1962&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0002-1962&client=summon