Effect of starch substitution with crude glycerol on growing rabbit and lactating doe performance

The aim of this work was to study the effect of dietary inclusion of 2.5 or 5.0% of glycerol in substitution for starch on performance of lactating does and fattening rabbits. Over four consecutive reproductive cycles, a total of 81 New Zealand ´ Californian rabbit does and 813 young rabbits weaned at 25 (fattening trial 1) or 35 (fattening trial 2) days of age were allocated at random to the experimental treatments. Inclusion of glycerol in the diet up to 5% did not influence total feed consumption of does and suckling rabbits, body weight and bioelectrical impedance of does at parturition or at day 21 of lactation and litter weight at weaning, or reproductive efficiency. Substitution of starch with glycerol did not affect feed intake, weight gain or mortality during fattening. The results of the current study indicate that crude glycerol from the biofuel industry can be used at levels up to 5% in rabbit diets without any detrimental or beneficial effect on performance

CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4.5

Th e CERES-Maize model is the most widely used maize (Zea mays L.) model and is a recognized reference for comparing new developments in maize growth, development, and yield simulation. Th e objective of this study was to present and evaluate CSMIXIM, a new maize simulation model for DSSAT version 4.5. Code from CSM-CERES-Maize, the modular version of the model, was modifi ed to include a number of model improvements. Model enhancements included the simulation of leaf area, C assimilation and partitioning, ear growth, kernel number, grain yield, and plant N acquisition and distribution. Th e addition of two genetic coeffi cients to simulate per-leaf foliar surface produced 32% smaller root mean square error (RMSE) values estimating leaf area index than did CSM-CERES. Grain yield and total shoot biomass were correctly simulated by both models. Carbon partitioning, however, showed diff erences. Th e CSM-IXIM model simulated leaf mass more accurately, reducing the CSM-CERES error by 44%, but overestimated stem mass, especially aft er stress, resulting in similar average RMSE values as CSM-CERES. Excessive N uptake aft er fertilization events as simulated by CSM-CERES was also corrected, reducing the error by 16%. Th e accuracy of N distribution to stems was improved by 68%. Th ese improvements in CSM-IXIM provided a stable basis for more precise simulation of maize canopy growth and yield and a framework for continuing future model developments

Real-time image processing for crop/weed discrimination in maize fields

This paper presents a computer vision system that successfully discriminates between weed patches and crop rows under uncontrolled lighting in real-time. The system consists of two independent subsystems, a fast image processing delivering results in real-time (Fast Image Processing, FIP), and a slower and more accurate processing (Robust Crop Row Detection, RCRD) that is used to correct the first subsystem's mistakes. This combination produces a system that achieves very good results under a wide variety of conditions. Tested on several maize videos taken of different fields and during different years, the system successfully detects an average of 95% of weeds and 80% of crops under different illumination, soil humidity and weed/crop growth conditions. Moreover, the system has been shown to produce acceptable results even under very difficult conditions, such as in the presence of dramatic sowing errors or abrupt camera movements. The computer vision system has been developed for integration into a treatment system because the ideal setup for any weed sprayer system would include a tool that could provide information on the weeds and crops present at each point in real-time, while the tractor mounting the spraying bar is moving

Caracterización molecular del mutante riso 1508 de cebada : modificaciones transcripcionales y posttranscripcionales en el desarrollo de la semilla

La semilla es el principal órgano reproductivo de las plantas espermatofitas, permitiendo la dispersión de las poblaciones y asegurando su supervivencia gracias a su tolerancia a la desecación y a su capacidad para germinar bajo condiciones ambientales óptimas. El rendimiento y valor económico de los cereales, que constituyen la primera cosecha mundial, depende, en buena medida, de la eficacia con que se acumulan en la semilla sustancias de reserva: proteínas, carbohidratos y lípidos. El principal carbohidrato acumulado en la semilla de cebada es el almidón y la fracción mayoritaria de proteínas es la de las prolaminas (solubles en etanol al 70%); estas proteínas tienen muy bajo contenido en lisina, un aminoácido esencial en la dieta de animales monogástricos. Con el fin de mejorar el valor nutricional de la semilla de cebada, se han obtenido diferentes mutantes con un mayor contenido en este aminoácido. Riso 1508 es un mutante de cebada rico en lisina cuya mutación lys3a, de efectos pleiotrópicos, segrega como un único gen mendeliano. Entre otros, presenta una reducción drástica de la expresión de algunos genes que codifican proteínas de reserva de tipo prolamina, en concreto, presenta reducida la expresión de los genes que codifican B-, C- y ϒ-Hordeínas y del inhibidor de tripsina CMe, pero no tiene alterada la expresión del gen que codifica las D-Hordeínas. Este último gen carece en su promotor del motivo GLM (5’‐(G/A)TGA(G/C)TCA(T/C)‐3’), que es reconocido por factores transcripcionales bZIP. En este trabajo, el mutante de cebada Riso 1508 se ha utilizado como herramienta para profundizar en el conocimiento de la regulación génica en semillas durante las fases de la maduración y la germinación. Para ello, en una primera aproximación, se llevó a cabo un análisis transcriptómico comparando el genotipo mutante con el silvestre durante la maduración de la semilla. Además de confirmar variaciones en los genes que codifican proteínas de reserva, este análisis indicó que también estaban afectados los genes relacionados con metabolismo de carbohidratos. Por ello se decidió caracterizar la familia multigénica de sacarosas sintasa (SUSy) en cebada. Se anotaron dos nuevos genes, HvSs3 y HvSs4, cuya expresión se comparó con la de los genes HvSs1 y HvSs2, previamente descritos en el laboratorio. La expresión de los cuatro genes en tejidos diferentes y su respuesta a estreses abióticos se analizó mediante RT-qPCR. HvSs1 y HvSs2 se expresaron preferencialmente durante el desarrollo del endospermo, y HvSs1 también fue un tránscrito abundante durante la germinación. HvSs1 se indujo en hojas en condiciones de anoxia y HvSs3 por estrés hídrico, y ambos genes se indujeron por tratamientos de frío. La localización subcelular de las cuatro isoformas no fue sólo citoplásmica, sino que también se localizaron en zonas próximas a retículo endoplásmico y en la cara interna de la membrana plasmática; además, se observó una co-localización de HvSS1 con el marcador de mitocondrias. Estos datos sugieren un papel distinto aunque parcialmente solapante de las cuatro Sacarosa Sintasas de cebada, descritas hasta la fecha. Las cinéticas de expresión de los genes que codifican los TFs más importantes implicados en la regulación génica durante el desarrollo del endospermo de cebada, se analizaron por RT-qPCR en ambos genotipos, demostrando que los TFs de la clase DOF aparecieron desregulados durante todo el proceso en Riso 1508 comparado con el cv. Bomi, aunque también se observaron diferencias significativas en algunos de los que codifican bZIPs. Estudios previos indicaban que el ortólogo de BLZ2 en maíz, O2, se regula post-traduccionalmente mediante un mecanismo de fosforilación/defosforilación reversible, y que la forma defosforilada es la fisiológicamente activa. En este trabajo se demostró que BLZ2 está sujeto a este tipo de regulación y que la proteín-fosfatasa HvPP2C2 está implicada en el proceso. La interacción de HvPP2C2 y BLZ2 tiene lugar en el núcleo celular únicamente en presencia de 100 μM ABA. En el mutante Riso 1508, BLZ2 se encuentra en un estado hiperfosforilado tanto durante la maduración como durante la germinación de la semilla, lo que dificultaría la unión de BLZ2 a las secuencias GLM en los promotores de los genes que codifican B-, C-,y ϒ- Hordeínas y CMe. Summary The seed is the main reproductive organ of spermatophyte plants allowing the spread of populations and ensuring their survival through its desiccation tolerance and because of their ability to germinate under optimum environmental conditions. Yield and economic value of cereal crops, that constitute the first world crop, depend largely on the efficiency with which they accumulate in the seed reserve substances: proteins, carbohydrates and lipids. The main carbohydrate accumulated in the barley seed is starch and the major protein fraction is that of prolamins (soluble in 70% ethanol); these proteins have a very low lysine content, an essential amino-acid for the diet of monogastric animals. In order to improve the nutritional value of the barley seed, different mutants have been obtained with a higher content of this amino-acid. Riso 1508 is one lysine-rich mutant whose mutation (lys3a) segregates as a single Mendelian gene with pleiotropic effects, such as a drastic reduction of genes encoding the trypsin inhibitor CMe and the B-, C-and ϒ-hordeins, but has not altered the expression of the gene encoding the D-hordeins. This latter gene lacks in its promotor the GLM motif (5’‐(G/A)TGA(G/C)TCA(T/C)‐3’), that is recognised by bZIP transcription factors In this work we have used the barley mutant Riso 1508 as a tool for better understanding gene regulation in seeds during the maturation and germination phases. To this aim, a transcriptomic analysis was performed comparing wild and mutant genotypes during seed maturation. Besides confirming variations in the expression of genes encoding reserve proteins, this analysis indicated that some genes related with carbohydrate metabolism were also affected. It was therefore decided to characterize the multigene family of sucrose synthases (SUSy) in barley. Two new genes were annotated, HvSs3 and HvSs4, and its expression was compared with that of genes HvSs1 and HvSs2, previously described in our laboratory. The expression of the four genes in different tissues and in response to abiotic stresses was analyzed by RTqPCR. HvSs1 and HvSs2 were preferentially expressed during the development of the endosperm, and the HvSs1 transcript was also abundant upon germination. HvSs1 was induced in leaves by anoxic conditions, HvSs3 by water stress, and both genes were induced by cold treatments. The subcellular localization of all four isoforms was not only cytoplasmic, but they could be found along the endoplasmic reticulum and at the inner side of the cell membrane; HvSS1, was also associated with the mitochondrial marker. These data suggest a distinct but partially overlapping roles for the barley sucrose synthases, described so far. The expression kinetics of the genes encoding the most important TFs involved in gene regulation during barley endosperm development was analyzed by RT-qPCR in both genotypes. These data show that the genes encoding DOF TFs were mis-regulated throughout the process in Riso 1508, although significant differences were also found among some of those encoding bZIPs. Previous studies indicated that the BLZ2 orthologue in maize, O2, was post-translationally regulated by reversible phosphorylation/dephosphorylation and that the dephosphorylated protein is the physiologically active form. In this work we demostrate that BLZ2 is under a similar regulation and that the proteinphosphatase HvPP2C2 is implicated in the process. The interaction between HvPP2C2 and BLZ2 takes place in the cell nucleus only in the presence of 100 μM ABA. In the Riso 1508 mutant, BLZ2 is found in a hyperphosphorylated state in the maturation phase and upon seed germination; because of this, the BLZ2 binding to the GLM promoter sequences of genes encoding B-, C- y ϒ- Hordeins and CMe would be decreased in the mutant.

Climate Change Impacts on Maize and Dry Bean Yields of smallholder farmers in Honduras

The rotation maize and dry bean provides the main food supply of smallholder farmers in Honduras. Crop model assessment of climate change impacts (2070?2099 compared to a 1961?1990 baseline) on a maize?dry bean rotation for several sites across a range of climatic zones and elevations in Honduras. Low productivity systems, together with an uncertain future climate, pose a high level of risk for food security. The cropping systems simulation dynamic model CropSyst was calibrated and validated upon field trail site at Zamorano, then run with baseline and future climate scenarios based upon general circulation models (GCM) and the ClimGen synthetic daily weather generator. Results indicate large uncertainty in crop production from various GCM simulations and future emissions scenarios, but generally reduced yields at low elevations by 0 % to 22 % in suitable areas for crop production and increased yield at the cooler, on the hillsides, where farming needs to reduce soil erosion with conservation techniques. Further studies are needed to investigate strategies to reduce impacts and to explore adaptation tactics.

Effects of different soil management practices on soil mechanic resistance and seed depth placement in a maize crop in Alentejo, Portugal Mediterranean region.

No tillage, minimum tillage and conventional tillage practices are commonly used in maize crops in Alentejo, affecting soil physic conditions and determining seeders performance. Seeders distribution can be evaluated in the longitudinal and vertical planes. Vertical plane is specified by seeding depth (Karayel et al., 2008). If, in one hand seeding depth uniformity is a goal for all crop establishment , in the other hand, seeders furrow openers depth control is never constant depending on soil conditions. Seed depth uniformity affects crop emergence, Liu et al. (2004) showed an higher correlation between crop productivity and emergence uniformity than with longitudinal plants distribution. Neto et al. (2007) evaluating seed depth placement by measuring maize mesocotyl length under no tillage conditions in 38 farms concluded that 20% of coefficient of variation suggests the need of improvement seeders depth control mechanisms. The objective of this study was to evaluate casual relationships and create spatial variability maps between soil mechanic resistance and vertical distribution under three different soil practices to improve seed depth uniformity.

Automatic detection of crop rows in maize fields with high weeds pressure

This paper proposes a new method, oriented to crop row detection in images from maize fields with high weed pressure. The vision system is designed to be installed onboard a mobile agricultural vehicle, i.e. submitted to gyros, vibrations and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of three main processes: image segmentation, double thresholding, based on the Otsu’s method, and crop row detection. Image segmentation is based on the application of a vegetation index, the double thresholding achieves the separation between weeds and crops and the crop row detection applies least squares linear regression for line adjustment. Crop and weed separation becomes effective and the crop row detection can be favorably compared against the classical approach based on the Hough transform. Both gain effectiveness and accuracy thanks to the double thresholding that makes the main finding of the paper.

Crop row detection in maize fields inspired on the human visual perception

This paper proposes a new method, oriented to image real-time processing, for identifying crop rows in maize fields in the images. The vision system is designed to be installed onboard a mobile agricultural vehicle, that is, submitted to gyros, vibrations, and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of two main processes: image segmentation and crop row detection. The first one applies a threshold to separate green plants or pixels (crops and weeds) from the rest (soil, stones, and others). It is based on a fuzzy clustering process, which allows obtaining the threshold to be applied during the normal operation process. The crop row detection applies a method based on image perspective projection that searches for maximum accumulation of segmented green pixels along straight alignments. They determine the expected crop lines in the images. The method is robust enough to work under the above-mentioned undesired effects. It is favorably compared against the well-tested Hough transformation for line detection.

Even-sowing pattern strategies for a low-input agricultural system in forage maize

The objective of this study was to verify the effectiveness of new patterns of sowing and to achieve a low-input organic system in two different environments (northern and southern Europe). The study was motivated by the hypothesis that more even sowing patterns (triangular and square) would significantly enhance the growth and yield of forage maize under widely varying conditions, compared with traditional mechanised rectangular seed patterns. An experiment was conducted in Madrid and duplicated in Copenhagen during 2010. A random block design was used with a 2 × 2 factorial arrangement based on two seed-sowing patterns: traditional (rectangular) and new (even) and two weed-management conditions (herbicide use and a low-input system). In both weed-management conditions and locations, the production of aerial maize biomass was greater for the new square seed patterns. In addition, the new pattern showed a greater effectiveness in the control of weeds, both at the initial crop stages (36 and 33% fewer weeds m-2 at the 4- and 8-leaf stages, respectively, in the Copenhagen field experiment) and at the final stage. The final weed biomass for the new pattern was 568 kg ha-1 lower for the Copenhagen experiment and 277 kg ha-1 lower in Madrid field experiments. In the light of these results, the new pattern could potentially reduce the use of herbicides. The results of the experiments support the hypothesis formulated at the beginning of this study that even-sowing patterns would be relatively favourable for the growth and yield of the maize crop. In the near future, new machinery could be used to achieve new seed patterns for the optimisation of biomass yield under low-input systems. This approach is effective because it promotes natural crop-weed competition.

Calibration of WAVE in irrigated maize: fallow vs. cover crops.

Nitrate leaching decreases crop available N and increases water contamination. Replacing fallow by cover crops (CC) is an alternative to reduce nitrate contamination, because it reduces overall drainage and soil mineral N accumulation. A study of the soil N and nitrate leaching was conducted during 5 years in a semi-arid irrigated agricultural area of Central Spain. Three treatments were studied during the intercropping period of maize (Zea mays L.): barley (Hordeum vulgare L.), vetch (Vicia villosa L.), and fallow. Cover crops, sown in October, were killed by glyphosate application in March, allowing direct seeding of maize in April. All treatments were irrigated and fertilised following the same procedure. Soil water content was measured using capacity probes. Soil Nmin accumulation was determined along the soil profile before sowing and after harvesting maize. Soil analysis was conducted at six depths every 0.20m in each plot in samples from 0 to 1.2-m depth. The mechanistic water balance model WAVE was applied in order to calculate drainage and plant growth of the different treatments, and apply them to the N balance. We evaluated the water balance of this model using the daily soil water content measurements of this field trial. A new Matlab version of the model was evaluated as well. In this new version improvements were made in the solute transport module and crop module. In addition, this new version is more compatible with external modules for data processing, inverse calibration and uncertainty analysis than the previous Fortran version. The model showed that drainage during the irrigated period was minimized in all treatments, because irrigation water was adjusted to crop needs, leading to nitrate accumulation on the upper layers after maize harvest. Then, during the intercrop period, most of the nitrate leaching occurred. Cover crops usually led to a shorter drainage period, lower drainage water amount and lower nitrate leaching than the treatment with fallow. These effects resulted in larger nitrate accumulation in the upper layers of the soil after CC treatments.

Role of maize stover incorporation on nitrogen oxide emissions in a non-irrigated Mediterranean barley field.

Aims Agricultural soils in semiarid Mediterranean areas are characterized by low organic matter contents and low fertility levels. Application of crop residues and/or manures as amendments is a cost-effective and sustainable alternative to overcome this problem. However, these management practices may induce important changes in the nitrogen oxide emissions from these agroecosystems, with additional impacts on carbon dioxide emissions. In this context, a field experiment was carried out with a barley (Hordeum vulgare L.) crop under Mediterranean conditions to evaluate the effect of combining maize (Zea mays L.) residues and N fertilizer inputs (organic and/or mineral) on these emissions. Methods Crop yield and N uptake, soil mineral N concentrations, dissolved organic carbon (DOC), denitrification capacity, N2O, NO and CO2 fluxes were measured during the growing season. Results The incorporation of maize stover increased N2O emissions during the experimental period by c. 105 %. Conversely, NO emissions were significantly reduced in the plots amended with crop residues. The partial substitution of urea by pig slurry reduced net N2O emissions by 46 and 39 %, with and without the incorporation of crop residues respectively. Net emissions of NO were reduced 38 and 17 % for the same treatments. Molar DOC:NO 3 − ratio was found to be a robust predictor of N2O and NO fluxes. Conclusions The main effect of the interaction between crop residue and N fertilizer application occurred in the medium term (4–6 month after application), enhancing N2O emissions and decreasing NO emissions as consequence of residue incorporation. The substitution of urea by pig slurry can be considered a good management strategy since N2O and NO emissions were reduced by the use of the organic residue.

Spatial variability of seed depth placement of maize under no tillage.

Among the various factors that contribute towards producing a successful maize crop, seed depth placement is a key determinant, especially in a no-tillage system. The main objective of this work was to evaluate the spatial variability of seed depth placement and crop establishment in a maize crop under no-tillage conditions, using precision farming technologies. The obtained results indicate that seed depth placement was significantly affected by soil moisture content, while a very high coefficient of variation of 39% was found for seed depth. Seeding depth had a significant impact on mean emergence time and percentage of emerged plants. Shallow average depth values and the high coefficient of variation suggest a need for improvement in controlling the seeder sowing depth.

How do various maize crop models vary in their responses to climate change factors?

Comments This article is a U.S. government work, and is not subject to copyright in the United States. Abstract Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data for calibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly 0.5 Mg ha 1 per °C. Doubling [CO2] from 360 to 720 lmol mol 1 increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information.

Automatic expert system based on images for accuracy crop row detection in maize fields

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification of the crop rows. The vision system is designed with a defined geometry and installed onboard a mobile agricultural vehicle, i.e. submitted to vibrations, gyros or uncontrolled movements. Crop rows can be estimated by applying geometrical parameters under image perspective projection. Because of the above undesired effects, most often, the estimation results inaccurate as compared to the real crop rows. The proposed expert system exploits the human knowledge which is mapped into two modules based on image processing techniques. The first one is intended for separating green plants (crops and weeds) from the rest (soil, stones and others). The second one is based on the system geometry where the expected crop lines are mapped onto the image and then a correction is applied through the well-tested and robust Theil–Sen estimator in order to adjust them to the real ones. Its performance is favorably compared against the classical Pearson product–moment correlation coefficient.

Short-term effects of four tillage practices on soil physical properties, soil water potential, and maize yield

The area cultivated using conservation tillage has recently increased in central Spain. However, soil compaction and water retention with conservation tillage still remains a genuine concern for landowners in this region be- cause of its potential effect on the crop growth and yield. The aim of this research is to determine the short- term influences of four tillage treatments on soil physical properties. In the experiment, bulk density, cone index, soil water potential, soil temperature and maize (Zea mays L.) productivity have been measured. A field experiment was established in spring of 2013 on a loamy soil. The experiment compared four tillage methods (zero tillage, ZT; reservoir tillage, RT; minimum tillage, MT; and conventional tillage, CT). Soil bulk density and soil cone index were measured during maize growing season and at harvesting time. Furthermore, the soil water potential was monitored by using a wireless sensors network with sensors at 20 and 40 cm depths. Also, soil temperatures were registered at depths of 5 and 12 cm. Results indicated that there were significant differ- ences between soil bulk density and cone index of ZT method and those of RT, MT, and CT, during the growing season; although, this difference was not significant at the time of harvesting in some soil layers. Overall, in most soil layers, tillage practice affected bulk density and cone index in the order: ZT N RT N MT N CT. Regardless oftheentireobservationperiod,results exhibited that soils under ZT and RT treatments usually resulted in higher water potential and lower soil temperature than the other two treatments at both soil depths. In addition, clear differences in maize grain yield were observed between ZT and CT treatments, with a grain yield (up to 15.4%) increase with the CT treatment. On the other hand, no significant differences among (RT, MT, and CT) on maizeyieldwerefound.Inconclusion,the impact of soil compaction increase and soil temperature decrease,pro- duced by ZT treatment is a potential reason for maize yield reduction in this tillage method. We found that RT could be certainly a viable option for farmers incentral Spain,particularly when switching to conservation tillage from conventional tillage. This technique showed a moderate and positive effect on soil physical properties and increased maize yields compared to ZT and MT, and provides an opportunity to stabilize maize yields compared to CT.