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Enregistrement W1996490277 · doi:10.4141/cjps06034

Water use efficiency and water and nitrate distribution in soil in the semiarid prairie: Effect of crop type over 21 years

2007· article· en· W1996490277 sur OpenAlexvenueaboutno aff
C. A. Campbell, R.P. Zentner, Prakash Basnyat, H. Wang, F. Selles, B.G. McConkey, Yantai Gan, H. Cutforth

Notice bibliographique

RevueCanadian Journal of Plant Science · 2007
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueSoil Carbon and Nitrogen Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAgronomyMonocultureEnvironmental scienceWater-use efficiencyCrop rotationCropPrecipitationFertilizerSoil waterSummer fallowWater useCrop yieldLong-term experimentIrrigationBiologySoil scienceAgricultureGeographyEcology

Résumé

récupéré en direct d'OpenAlex

In the semiarid prairie, available water is the most limiting and nitrogen the second most limiting factor influencing crop production. Although numerous studies have been conducted on the effect of management practices on water use efficiency (WUE), most have concentrated on monoculture wheat, the major crop grown in the region. Even those studies dealing with other crop types have mostly been short-term in nature. But precipitation is so variable in amount and distribution that such an assessment is best conducted in long-term experiments. We used the results of a 21-yr experiment, conducted in the Brown soil zone at Swift Current, Saskatchewan, to determine the influence of crop type on WUE, and used the distribution of water and NO3-N in the soil, and N uptake by the crop to assist in interpreting these results. Four crop rotations were compared: summer fallow-wheat-wheat (F-W-W), F-flax-W (F-Flx-W), continuous wheat (Cont W) and wheat-lentil (W-Lent). All received N and P fertilizer based on soil test. In the following presentation, the rotation phase shown in parentheses was the phase referred to. We used water and NO3-N measured in consecutive 0.3-m depth segments to 1.2 m in the soil, taken just prior to seeding and after harvest, and precipitation, to make this assessment. About 10 mm more water was conserved in the F-W-W rotation than in the F-Flx-W system during the 21-mo summer fallow period, and most of this difference in water was located in the 0.3- to 0.9-m depth. Soil water in the profile was 14 mm greater following flax harvest than following wheat harvest (mostly located in 0.6- to 1.2-m depth), because flax produces less biomass and has shorter roots than wheat. At harvest, wheat dried the soil to near the wilting point (154 mm), but flax and lentil left about 10 mm of available water in the profile (mostly in the 0.6- to 1.2-m depth), suggesting shallower rooting depths. Over the 9-mo winter period about 58 mm of water was stored in the soil after wheat and 41 mm after flax. Wheat stubble conserved more overwinter water than flax stubble because of its taller height. Lentil, with its much shorter stubble, conserved about 7 mm less water than wheat during winter. Because flax produces much less biomass and withdraws less N from the soil than wheat, it left more NO3-N in the soil (27 kg ha-1 more at seeding and 23 kg ha-1 more at harvest); most of the extra NO3 was in the 0.3- to 1.2-m depth reflecting flax's shallower roots. During the 9-mo overwinter period, 16 kg ha-1 of NO3-N was mineralized following wheat and 33 kg ha-1 following flax. In the spring, Cont W and stubble wheat in F-W-(W) had about 50% as much soil NO3-N as the W-Lent rotation, reflecting the cumulative benefits of N2 fixation by the pulse crop over the years . By harvest, soil NO3-N under (W)-Lent > W-(Lent) > F-Flx-(W) > F-W-(W) > Cont W. The excess NO3-N in the (W)-Lent compared to W-(Lent) was located in the 0- to 0.6-m depth suggesting excessive fertilizer application to the wheat phase of this rotation and implying a need for agronomists to reassess the criteria used for N recommendations for rotations containing pulse crops. Lentil used as much water as wheat even though its biomass was much less. WUE for wheat grown on summer fallow averaged 8.11 kg ha -1 mm-1, and for wheat grown on stubble 6.9 kg ha-1 mm-1. WUE for wheat was also higher when it followed flax than when it followed wheat. The WUE of flax and lentil averaged 50% and 64%, respectively, of wheat following wheat. A more meaningful way of expressing the efficiency of water use is as precipitation required per unit of produce from the complete cropping system (PUE). The PUE increased with cropping intensity on a yield basis (kg ha-1 mm-1): Cont W (4.6) > W-Lent (4.2) > F-W-W (4.1) > F-Flx-W (2.9) (opposite response to WUE). When PUE was calculated on a dollars produced per rotation basis ($ ha-1 mm-1): W-Lent (1.0) was higher than the other three rotations (0.6 to 0.7). Key words: Soil water, soil nitrate, lentil, flax, wheat, crop rotation, precipitation use efficiency

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,200
Écart entre enseignants0,192 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations54
Publié2007
Routes d'admission2
Résumé présentoui

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