☆ 4.7 Article

Field and in-silico analysis of harvest index variability in maize silage

FRONTIERS IN PLANT SCIENCE (2023)

Related references

Note: Only part of the references are listed.

Article Agronomy

Combined use of APSIM and logistic regression models to predict the quality characteristics of maize grain

Maryam Rahimi Jahangirlou et al.

Summary: This study adapted a simple algorithm to predict the starch, oil, and protein content of maize grains using the APSIM-Maize model and a Three-Parameter Logistic model (3PLM). The results showed that this combination of models accurately predicted the temporal changes in content and had satisfactory performance in simulating grain phenological events, yield, and protein content.

EUROPEAN JOURNAL OF AGRONOMY (2023)

Add to Collection

Article Agronomy

The impact of drought and heat stress at flowering on maize kernel filling: Insights from the field and laboratory

Xiwei Liu et al.

Summary: This study investigated the effects of drought and heat stress at the flowering phase on maize kernel filling. The results showed that exposure to stress significantly decreased the kernel weight of maize plants. Carbohydrate metabolism and starch biosynthesis were impaired by drought and heat. The study provides valuable information for the improvement of drought- and heat-tolerant hybrids and management strategies to enhance crop yields.

AGRICULTURAL AND FOREST METEOROLOGY (2022)

Add to Collection

Article Agronomy

Sustained improvement in tolerance to water deficit accompanies maize yield increase in temperate environments

Carlos Messina et al.

Summary: This study evaluated the changes in yield and yield stability after two decades of breeding by comparing two cohorts of hybrids released by the AQUAmax program to a non-AQUAmax control. The results showed that AQUAmax hybrids yielded more than non-AQUAmax hybrids under water deficit conditions, and the difference depended on plant density. The study concluded that deliberate selection of hybrids for yield performance under water deficit contributed to the sustained improvement in yield stability.

CROP SCIENCE (2022)

Add to Collection

Article Multidisciplinary Sciences

Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain

Bahareh Kamali et al.

Summary: This study investigates the main drivers of uncertainties in simulated irrigated maize yield under historical conditions as well as scenarios of increased temperatures and altered irrigation water availability. The results show that irrigation strategies are the main driver of uncertainty in simulated yields, but under temperature increase scenarios, the contribution of crop model and cultivar choice to uncertainty in simulated yields are as important as irrigation strategy.

SCIENTIFIC REPORTS (2022)

Add to Collection

Article Environmental Sciences

The Optimal Phenological Phase of Maize for Yield Prediction with High-Frequency UAV Remote Sensing

Bin Yang et al.

Summary: Unmanned aerial vehicles (UAV)-based multispectral remote sensing, combined with multi-temporal data, significantly improves the monitoring and prediction of crop yield accuracy in agro-ecosystems. Specific developmental stages of crops, such as tasseling, silking, milking, and dough stages, are critical for achieving the highest yield prediction accuracy. Additionally, certain spectral indices, such as NDRE and GNDVI, are crucial features for maize yield prediction.

REMOTE SENSING (2022)

Add to Collection

Article Agriculture, Multidisciplinary

Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions

Facundo N. Della Nave et al.

Summary: The study successfully utilized remote sensing data and mechanistic models to simulate the growth and development of forage sorghum, achieving good results under sub-optimal water and nitrogen stress conditions. Water availability was identified as the main driver of inter-annual variance in aboveground biomass.

AGRICULTURAL SYSTEMS (2022)

Add to Collection

Article Agronomy

Coordinating maize source and sink relationship to achieve yield potential of 22.5 Mg ha-1

Guangzhou Liu et al.

Summary: Coordination between source and sink is crucial for achieving high maize grain yield under high planting density. A four-year field experiment conducted in China revealed three different source-sink types for high-yield cultivation and recommended selecting hybrids with specific characteristics for future cultivation.

FIELD CROPS RESEARCH (2022)

Add to Collection

Article Agronomy

Kernel weight relevance in maize grain yield response to nitrogen fertilization

Alejo Ruiz et al.

Summary: This study investigates the response of maize kernel weight (KW) and kernel number (KN) to nitrogen (N) fertilization. The results show that N fertilization has a consistent effect on both KW and KN, with KW being more related to yield response in Argentina and KN being more related to yield response in the United States. When compared to literature studies, KW has a higher contribution to yield increases when the grain yield response to N fertilization is less than 30%, while KN becomes more important when the grain yield response is higher than 30%.

FIELD CROPS RESEARCH (2022)

Add to Collection

Article Agriculture, Multidisciplinary

Nitrogen fertilisation affected zinc and selenium biofortification in silage maize

Klara Petkovic et al.

Summary: This study investigated the effect of nitrogen and microelement fertilisation on yield and on the microelement composition of maize silage. Nitrogen fertilisation increased biomass yield and Cu and Mn concentration. Application of Se and Zn did not affect biomass yield, but had a positive effect on Se and Zn concentration in plants. Combining Zn with urea was more efficient in increasing Zn concentration in plants.

CROP & PASTURE SCIENCE (2022)

Add to Collection

Article Plant Sciences

The Interrelationship Between Water Use Efficiency and Radiation Use Efficiency Under Progressive Soil Drying in Maize

Huailin Zhou et al.

Summary: The study found that the impact of soil drying treatments on maize growth and photosynthetic efficiency varied depending on the growth stage, with early-stage drought increasing leaf WUE but late-stage drought decreasing it. Overall, leaf RUE decreased during progressive soil drying, and the interaction between canopy WUE and RUE was mainly regulated by fAPAR rather than LAI under drought conditions.

FRONTIERS IN PLANT SCIENCE (2021)

Add to Collection

Article Agronomy

Modelling soybean and maize growth and grain yield in strip intercropping systems with different row configurations

Yushan Wu et al.

Summary: Intercropping of multiple crop species can increase resource use efficiency and yield per unit land area. However, modeling the effects of different row configurations on intercropping efficiency is challenging due to the variability of key model parameters with spacing and configuration. This study shows that a light interception model combined with a quasi-Bayesian approach can be used to evaluate the impact of planting configurations on productivity of strip intercropping systems, but further research is needed to improve modeling physiology of strip intercrops.

FIELD CROPS RESEARCH (2021)

Add to Collection

Article Agronomy

Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize

I. D. Tsakmakis et al.

Summary: The study explored the relationship between high-resolution NDVI data and on-site CC, using it for operational validation and improvement of crop growth models. Results showed that remotely acquired CC time series can be successfully used as an alternative means for validating CC simulations, while re-estimated parameters enhanced model performance in simulating CC, biomass, and yield. No significant differences were observed in soil water content simulation.

AGRICULTURAL WATER MANAGEMENT (2021)

Add to Collection

Review Agronomy

Modelling selection response in plant-breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions

M. Cooper et al.

Summary: Plant-breeding programs aim to systematically change the genetic makeup of plants over multiple cycles to improve trait performance for target environments. Selection within a structured reference population of genotypes is the primary mechanism for genetic changes, informing breeding strategies through the breeder's equation and quantitative genetic theory. Through this process, cultivated crop varieties are improved for use in agriculture by linking gene effects to trait phenotypes. The hierarchical structure of crop models, combined with the infinitesimal model, is considered for optimizing selection in breeding programs.

IN SILICO PLANTS (2021)

Add to Collection

Article Environmental Sciences

Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement

Jonathan J. Ojeda et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Add to Collection

Article Agronomy

Controlled-release urea combining with optimal irrigation improved grain yield, nitrogen uptake, and growth of maize

Guanghao Li et al.

AGRICULTURAL WATER MANAGEMENT (2020)

Add to Collection

Article Agronomy

Simple regression models to estimate light interception in wheat crops with Sentinel-2 and a handheld sensor

Pedro Pellegrini et al.

CROP SCIENCE (2020)

Add to Collection

Article Agronomy

Growth, water productivity, nutritive value, and physiology responses of silage corn to water stress

Abdelaziz Nilahyane et al.

AGRONOMY JOURNAL (2020)

Add to Collection

Article Agronomy

Challenges for Simulating Growth and Phenology of Silage Maize in a Nordic Climate with APSIM

Julien Morel et al.

AGRONOMY-BASEL (2020)

Add to Collection

Article Agronomy

Eco-physiological processes underlying maize water use efficiency response to plant density under contrasting water regimes

M. D. Hernandez et al.

FIELD CROPS RESEARCH (2020)

Add to Collection

Article Agronomy

Untangling genotype x management interactions in multi-environment on-farm experimentation

Diego Hernan Rotili et al.

FIELD CROPS RESEARCH (2020)

Add to Collection

Article Agriculture, Dairy & Animal Science

Potential of four corn varieties at different harvest stages for silage production in Malaysia

Muhamad Hazim Nazli et al.

ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES (2019)

Add to Collection

Article Agronomy

Modelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequences

Jonathan Jesus Ojeda et al.

AGRICULTURAL AND FOREST METEOROLOGY (2018)

Add to Collection

Article Agriculture, Dairy & Animal Science

Nutrient composition, ruminal degradability and whole tract digestibility of whole crop maize silage from nine current varieties

Leonhard Gruber et al.

ARCHIVES OF ANIMAL NUTRITION (2018)

Add to Collection

Article Agronomy

Modelling the nitrogen dynamics of maize crops - Enhancing the APSIM maize model

S. Soufizadeh et al.

EUROPEAN JOURNAL OF AGRONOMY (2018)

Add to Collection

Review Agriculture, Dairy & Animal Science

Silage review: Unique challenges of silages made in hot and cold regions

T. F. Bernardes et al.

JOURNAL OF DAIRY SCIENCE (2018)

Add to Collection

Review Agriculture, Dairy & Animal Science

Silage review: Factors affecting dry matter and quality losses in silages

G. Borreani et al.

JOURNAL OF DAIRY SCIENCE (2018)

Add to Collection

Review Agriculture, Dairy & Animal Science

Silage review: Recent advances and future technologies for whole-plant and fractionated corn silage harvesting

L. F. Ferraretto et al.

JOURNAL OF DAIRY SCIENCE (2018)

Add to Collection

Article Environmental Sciences

Maize plant nitrogen uptake dynamics at limited irrigation water and nitrogen

Hafiz Mohkum Hammad et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2017)

Add to Collection

Article Agronomy

Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments

Jonathan J. . Ojeda et al.

GLOBAL CHANGE BIOLOGY BIOENERGY (2017)

Add to Collection

Article Agronomy

A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland, Australia

J. Sexton et al.

EUROPEAN JOURNAL OF AGRONOMY (2017)

Add to Collection

Review Agriculture, Dairy & Animal Science

Challenges of feeding dairy cows in Australia and New Zealand

W. J. Wales et al.

ANIMAL PRODUCTION SCIENCE (2017)

Add to Collection

Article Agriculture, Multidisciplinary

Exploring genotype, management, and environmental variables influencing grain yield of late-sown maize in central Argentina

Brenda L. Gambin et al.

AGRICULTURAL SYSTEMS (2016)

Add to Collection

Article Agronomy

Kernel setting at the apical and sub-apical ear of older and newer Argentinean maize hybrids

N. Ciancio et al.

FIELD CROPS RESEARCH (2016)

Add to Collection

Article Agronomy

Multiple abiotic stresses on maize grain yield determination: Additive vs multiplicative effects

M. A. Rossini et al.

FIELD CROPS RESEARCH (2016)

Add to Collection

Article Agriculture, Dairy & Animal Science

Effects of ensiling density on nutritive value of maize and sorghum silages

Ekin Sucu et al.

REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE (2016)

Add to Collection

Article Agriculture, Dairy & Animal Science

Milk production responses to a change in dietary starch concentration vary by production level in dairy cattle

J. P. Boerman et al.

JOURNAL OF DAIRY SCIENCE (2015)

Add to Collection

Article Agronomy

Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States

Sotirios V. Archontoulis et al.

AGRONOMY JOURNAL (2014)

Add to Collection

Article Agronomy

Prediction of Dry Matter Yield of Hybrid Forage Corn Grown for Silage

M. R. Islam et al.

CROP SCIENCE (2014)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Plant Modelling Framework: Software for building and running crop models on the APSIM platform

Hamish E. Brown et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2014)

Add to Collection

Article Agronomy

Use of agro-climate ensembles for quantifying uncertainty and informing adaptation

Andrew J. Challinor et al.

AGRICULTURAL AND FOREST METEOROLOGY (2013)

Add to Collection

Article Agronomy

Nutrient Uptake, Partitioning, and Remobilization in Modern, Transgenic Insect-Protected Maize Hybrids

Ross R. Bender et al.

AGRONOMY JOURNAL (2013)

Add to Collection

Article Agriculture, Multidisciplinary

Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development, and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia

K. G. Pembleton et al.

CROP & PASTURE SCIENCE (2013)

Add to Collection

Article Agriculture, Dairy & Animal Science

Effects of irrigation and rates and timing of nitrogen fertilizer on dry matter yield, proportions of plant fractions of maize and nutritive value and in vitro gas production characteristics of whole crop maize silage

M. R. Islam et al.

ANIMAL FEED SCIENCE AND TECHNOLOGY (2012)

Add to Collection

Article Agronomy

Rates and timing of nitrogen fertilizer application on yield, nutritive value and nutrient-use efficiency of early- and late-sown forage maize

M. R. Islam et al.

GRASS AND FORAGE SCIENCE (2012)

Add to Collection

Article Agriculture, Dairy & Animal Science

Production response to corn silage produced from normal, brown midrib, or waxy corn hybrids

J. S. Barlow et al.

JOURNAL OF DAIRY SCIENCE (2012)

Add to Collection

Article Agriculture, Multidisciplinary

Use of normalised difference vegetation index, nitrogen concentration, and total nitrogen content of whole maize plant and plant fractions to estimate yield and nutritive value of hybrid forage maize

M. R. Islam et al.

CROP & PASTURE SCIENCE (2011)

Add to Collection

Review Plant Sciences

Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops

Graeme L. Hammer et al.

JOURNAL OF EXPERIMENTAL BOTANY (2010)

Add to Collection

Article Agronomy

Effect of crowding stress on dry matter accumulation and harvest index in maize

Matthijs Tollenaar et al.

AGRONOMY JOURNAL (2006)

Add to Collection

Article Agronomy

Source-sink relations and kernel weight differences in maize temperate hybrids

BL Gambín et al.

FIELD CROPS RESEARCH (2006)

Add to Collection

Article Agronomy

A gene-based model to simulate soybean development and yield responses to environment

CD Messina et al.

CROP SCIENCE (2006)

Add to Collection

Review Agriculture, Multidisciplinary

Assessment of the adequacy of mathematical models

LO Tedeschi

AGRICULTURAL SYSTEMS (2006)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Using spatial interpolation to construct a comprehensive archive of Australian climate data

SJ Jeffrey et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.