Lower Fruit Quality Research Articles

Effect of chitosan-tripolyphosphate to suppress anthracnose (Colletotrichum spp.) in post-harvest chili

Anthracnose disease (Colletotrichum spp.) in chili can lead to low fruit quantity and quality from planting to the postharvest stage. The environmentally friendly management using chitosan (CS) is expected to suppress anthracnose disease and increase the shelf-life of chili. This study aimed to determine the effect of the chitosan-tripolyphosphate (CS-TPP) to suppress anthracnose on chili during postharvest storage through in-vitro and in-vivo assays. In the in-vitro assay, CS-TPP solution with a ratio of [5:2] and [3:1] was applied into a warm Potato Dextrose Agar (PDA) medium. It was grown by Colletotrichum pathogen, while on in vivo assay, CS-TPP was applied to chili fruit before being inoculated by the pathogen. A control treatment was prepared without CS-TPP application. Results revealed that the CS-TPP ratios affected the growth of Colletotrichum spp. at the in-vitro assay. The CS-TPP [5:2] ratio was more effective than CS-TPP [3:1] in reducing the growth of Colletotrichum spp. with the fungal inhibition of 62,65% and 55,56%, respectively, compared to the control treatment. Moreover, it also showed anthracnose disease suppression on chili fruit of 51%, and 29%, respectively, compared to control treatment at in-vivo assay. This study showed the potential use of CS-TPP as a coating application for anthracnose disease management on storage chili, however further study such as viability and longevity of formula need to be done.

Imidacloprid triggered changes in strawberry fruits on edible quality and phenolic profiles by applied at two growth stages

Increasing evidence showed that imidacloprid affects plants’ abiotic or biotic stress tolerance. However, the effects of imidacloprid on the quality of fruits remain elusive. This work aimed to study the effects of imidacloprid applied at different growth stages on the edible quality and phenolic profile of strawberry fruit in the field experiment. For the first time, lower fruit quality was observed in the mature strawberry fruits after imidacloprid treatment at the fruit-bearing completion stage (five days after pollination). Compared to the control group, the mature strawberry fruit wights and the SCC/TA ratio declined about 18.2–30.0 % and 10.3–16.8 %, respectively. However, those attributes did not occur in the mature strawberry fruits by imidacloprid treatment at the fruit maturation stage (30 days after pollination). Among the 30 phenolic compounds, nine presented significant up-regulation or down-regulation after imidacloprid application at two different growth stages, suggesting that the application period played an essential role in evaluating the effects of imidacloprid on the quality of fruits. A significant effect on fruit quality was presented at the strawberry early growth stage treated by imidacloprid. This study provided a new insight into how and when imidacloprid affects the quality of strawberry fruits, contributing to the future’s more scientific application of imidacloprid on strawberries.

In vitro Evaluation of Antagonistic Effect of Bio Control Agents (BCA) against Mango Dieback Incited by Lasiodiplodia theobromae (Pat.) Griffon & Maubl

Mango (Mangifera indica L.) is one of the most important tropical fruit crops, belongs to family anacardiaceae. Mango is infected by number of diseases at all stages of its development, among them dieback caused by Lasiodiplodia theobromae (Pat.) Griffon & Maubl. is considered to be the most destructive disease, leading to significant yield loss and low fruit quality of mango due to slowly wilting of tree. The present investigation was carried out to evaluate the inhibitory activity of different bio-control agents (BCA) against L. theobromae. Different bioagents viz., Trichoderma viride NAU isolate, T. harzianum, NAU isolate, Pseudomonas fluorescens NAU isolate, Bacillus subtilis NAU isolate and Rhizospheric actinobacteria were tested by dual culture technique. Among them, highest per cent growth inhibition was found in T. viride (71.47%) followed by T. harzianum (67.15%) and rhizospheric actinobacteria (47.84%). P. fluorescens (3.46%) was found least effective against pathogen. The results indicated that among all the BCA, T. viride was most effective against L. theobromae. Hence, it can be explored further for management of mango dieback.

Desempenho de porta-enxertos clonais para pessegueiro ‘BRS-Kampai’ e autoenraizado em região de inverno ameno

ABSTRACT The worldwide main peach-producing are adopting peach training systems with canopy size-controlling clonal rootstocks. However, most peach seedlings commercialised in Brazil are still on seed-propagated rootstocks, which are vigorous and heterogeneous. This study aimed to select rootstocks which induce desirable characteristics of fruit quality, yield efficiency, size control, adaptability and stability in the ‘BRS-Kampai’ grown in subtropical regions with mild winters. We used adaptability and stability methodology and multivariate selection index to determine yield components and fruit quality. The experiment was conducted in five cycles. The treatments consisted of ‘BRS-Kampai’ grafted onto 17 clonal rootstocks of Prunus spp. and own-rooted trees. The evaluated variables were yield per tree, yield per area, fruit mass, fruit diameter, fruit firmness, soluble solids content, titratable acidity, canopy volume and yield efficiency. The rootstocks ‘Ishtara®’, ‘Genovesa’, ‘Santa Rosa’ and ‘Cadaman’ always induced low yield and low fruit quality when used as clonal rootstocks for the ‘BRS-Kampai’ and showed no potential for use as rootstocks in subtropical humid regions with mild winters. The ‘BRS-Kampai’ own-rooted peach trees or those grafted onto ‘Flordaguard’, ‘Okinawa’ are alternatives for peach cultivation under the edaphoclimatic conditions of Pato Branco-PR, although the training and pruning systems must be adjusted due to high vigour. The clonal rootstocks ‘Tsukuba-3’ and ‘Tsukuba-2’ induced the highest production performance in the canopy cultivar BRS-Kampai, combining fruit quality, yield with higher stability, and yield efficiency making them the most suitable ones among the studied rootstocks.

Physico-Chemical Analysis of the Fruits and Consumer Preferences of New Apple (Malus × domestica Borkh) Hybrids Bred in Poland

Apples are the most important species in Polish fruit production, and their fresh fruit and processing products occupy a very important place in the European and world food economies. A natural process on the apple market is the replacement of older cultivars with new ones. Consequently, breeding work is being carried out all over the world to obtain new, attractive apple cultivars. In this work, four new apple hybrids obtained in the Department of Pomology and Horticulture Economics at the University of Life Sciences in Warsaw (WULS—SGGW), i.e., two red-skinned hybrids (‘I’P’ and ‘TL’) and two green-skinned hybrids (‘GL’ and ‘LG’), were tested for their main physico-chemical characteristics after harvest and after storage, as well as for their consumer acceptability in a comparison with three popular cultivars in Poland (‘Šampion’, ‘Golden Delicious’, and ‘Ligol’). The hybrids evaluated were differentiated in terms of the tested features. It was found that the fruits of the ‘GL’ hybrid had the highest firmness—both after harvest and post storage; it was also one of the highest-rated overall impressions by consumers among the cultivars tested (only ‘Ligol’ apples had higher scores). The hybrid with low fruit quality and low health-promoting properties at this stage of the study was ‘TL’, whose overall impression was also rated lowest by consumers. The study also showed that the content of bioactive compounds and antioxidant activity of apples can be higher in green-skinned cultivars compared to red-skinned cultivars.

Pengaruh Pemberian Pupuk Daun dan Pemangkasan Terhadap Produksi Belimbing (Averhoa carambola L.)

Flower and fruit loss and low fruit quality are complex problems faced in star fruit cultivation. The research aims to determine the effect of pruning twigs and applying foliar fertilizer on plant growth, quantity and quality of fruit. Factorial research using two treatment factors. . Factor I is the type of foliar fertilizer, consisting of D0 = No foliar fertilizer (control), D1 = SB foliar fertilizer (8-20-15), D2 = HP foliar fertilizer (10-40-15), and D3 = DN foliar fertilizer (10-30-37). Factor II is the interval for applying foliar fertilizer, consisting of I1 = once every 7 days interval, I2 = once every 10 days interval, and I3 = once every 14 days interval. The research used plant material of the same age, as replications, groups of plants were used that were differentiated according to the pruning model, namely P0 = Plants that were not pruned as replication I, P1 = Plants that only had their wiwilan branches pruned as replication II, and P2 = Plants that had their branches pruned wiwilan and clustered branches (remaining the good ones) as repetition III. The results showed that application of foliar fertilizer and pruning of branches increased the number of fruit, fruit weight and size of sweet star fruit. Pruning wiwilan branches and reducing clustered branches has the greatest effect on the number of fruit, fruit weight and fruit volume compared to other pruning intensities. The research results can be used as a reference for star fruit farmers in determining maintenance actions, especially in fertilizing and pruning to regulate the canopy. while increasing production.

Polyploidization and genomic selection integration for grapevine breeding: a perspective.

Grapevines are economically important woody perennial crops widely cultivated for their fruits that are used for making wine, grape juice, raisins, and table grapes. However, grapevine production is constantly facing challenges due to climate change and the prevalence of pests and diseases, causing yield reduction, lower fruit quality, and financial losses. To ease the burden, continuous crop improvement to develop superior grape genotypes with desirable traits is imperative. Polyploidization has emerged as a promising tool to generate genotypes with novel genetic combinations that can confer desirable traits such as enhanced organ size, improved fruit quality, and increased resistance to both biotic and abiotic stresses. While previous studies have shown high polyploid induction rates in Vitis spp., rigorous screening of genotypes among the produced polyploids to identify those exhibiting desired traits remains a major bottleneck. In this perspective, we propose the integration of the genomic selection approach with omics data to predict genotypes with desirable traits among the vast unique individuals generated through polyploidization. This integrated approach can be a powerful tool for accelerating the breeding of grapevines to develop novel and improved grapevine varieties.

Automation of Fruit Sorting Process Using Conveyor Belt System

Abstract: Fruit sorting is an important step in the fruit industry since it ensures that only high-quality fruits are sold. Manual sorting takes time, is labour-intensive, and is prone to human error. The use of a conveyor belt system with machine vision to automate the sorting process can increase the efficiency and accuracy of fruit quality sorting. This study describes the design and execution of a conveyor belt system for sorting fruit quality using machine vision. The approach is intended to sort fruits based on their appearance, such as colour, size, and form. The machine vision system is trained using a collection of photos of variable quality fruits, allowing it to differentiate between high-quality and low-quality fruits. The conveyor belt system is made up of a motor, sensors, and a camera that takes pictures of the fruits as they move along the belt. The machine vision system processes the photos in real time, determining the quality of each fruit and directing it to the right bin. The precision, speed, and efficiency of the system are all measured. The technology looks potential for increasing the efficiency and accuracy of fruit quality sorting in the fruit sector.

Tomato Plant Microbiota under Conventional and Organic Fertilization Regimes in a Soilless Culture System.

Tomato is the main vegetable cultivated under soilless culture systems (SCSs); production of organic tomato under SCSs has increased due to consumer demands for healthier and environmentally friendly vegetables. However, organic tomato production under SCSs has been associated with low crop performance and fruit quality defects. These agricultural deficiencies could be linked to alterations in tomato plant microbiota; nonetheless, this issue has not been sufficiently addressed. Thus, the main goal of the present study was to characterize the rhizosphere and phyllosphere of tomato plants cultivated under conventional and organic SCSs. To accomplish this goal, tomato plants grown in commercial greenhouses under conventional or organic SCSs were tested at 8, 26, and 44 weeks after seedling transplantation. Substrate (n = 24), root (n = 24), and fruit (n = 24) composite samples were subjected to DNA extraction and high-throughput 16S rRNA gene sequencing. The present study revealed that the tomato core microbiota was predominantly constituted by Proteobacteria, Actinobacteria, and Firmicutes. Remarkably, six bacterial families, Bacillaceae, Microbacteriaceae, Nocardioidaceae, Pseudomonadaceae, Rhodobacteraceae, and Sphingomonadaceae, were shared among all substrate, rhizosphere, and fruit samples. Importantly, it was shown that plants under organic SCSs undergo a dysbiosis characterized by significant changes in the relative abundance of Bradyrhizobiaceae, Caulobacteraceae, Chitinophagaceae, Enterobacteriaceae, Erythrobacteraceae, Flavobacteriaceae, Nocardioidaceae, Rhodobacteraceae, and Streptomycetaceae. These results suggest that microbial alterations in substrates, roots, and fruits could be potential factors in contributing to the crop performance and fruit quality deficiencies observed in organic SCSs.

Physicochemical properties in NOR tomato line MA 131-6-3 after treated with ethephon and calcium carbide induced ripening

Abstract. Khairi A, Murti RH, Irwan SNR, Putra ETS. 2023. Physicochemical properties in NOR tomato line MA 131-6-3 after treated with ethephon and calcium carbide induced ripening. Biodiversitas 24: 3029-3037. Tomato fruit Postharvest Losses (PHL) from rotting, Physiological Weight Loss (PWL), inadequate nutrition, and other factors can lower fruit quality. Tomato is included as climacteric fruit which shows a significant increase in respiration and ethylene. The use of tomato with an extended shelf life due to genetic engineering, such as a Non-Ripening (NOR) tomato, can lower PHL. This experiment was carried out to evaluate physicochemical characteristics of NOR tomato fruit (lineMA 131-6-3 as result of selection F6)during postharvest after being treated by Ethephon (ET) (375, 750, 1,125, and 1,500 ppm), calcium carbide (CaC2) (5, 10, 15, and 20 gkg?1), and control. The experimental design was arranged in Randomized Completely Block Design with three replications.The ambient temperature was 28.30±1.75°C and relative humidity of 60.69±2.33%. The results showed the fruit ripening and physicochemical altered with CaC2 treatment, then followed by yellow but did not alter to the red color for all treatments. The value of reduction sugar, respiration, ethylene, PWL, and pH increased, meanwhile the fruit firmness decreased caused by CaC2. Furthermore, ET could increase rotting during storage.

Loss of yield or lower fruit quality due to iodine deficiency in tomato and sweet pepper crops under heat stress can be prevented by application of potassium nitrate with iodine

Loss of yield or lower fruit quality due to iodine deficiency in tomato and sweet pepper crops under heat stress can be prevented by application of potassium nitrate with iodine

Magnesium improved fruit quality by regulating photosynthetic nitrogen use efficiency, carbon-nitrogen metabolism, and anthocyanin biosynthesis in 'Red Fuji' apple.

Both nitrogen (N) and magnesium (Mg) play important roles in biochemical and physiological processes in plants. However, the application of excessive N and insufficient Mg may be the factor leading to low nitrogen utilization rate (NUE) and fruit quality degradation in apple production. In this study, we analyzed the effects of different application rates of Mg (0, 50, 100, 150, 200 kg/ha) on the photosynthetic nitrogen use efficiency (PNUE), the accumulation and distribution of carbon (C), N metabolism, anthocyanin biosynthesis and fruit quality of the 'Red Fuji' apple in 2018 and 2019. The results showed that the application of Mg significantly increased the 15NUE and increased the allocation rate of 15N in the leaves whereas the 15N allocation rate in the perennial organs and fruits was decreased. With the increase in Mg supply, the activities of N metabolism enzymes (NiR, GS, and GOGAT) were significantly promoted and the content of intermediate products in N metabolism ( , , and free amino acid) was significantly decreased. Furthermore, an appropriate rate of Mg significantly promoted the net photosynthetic rate (Pn) and photosynthetic nitrogen use efficiency (PNUE), enhanced the enzyme activities of C metabolism (SS, SPS, S6PDH), and increased the contents of sorbitol and sucrose in leaves. In addition, Mg upregulated the gene expression of sugar transporters (MdSOT1, MdSOT3, MdSUT1, and MdSUT4) in fruit stalk and fruit fresh; 13C isotope tracer technology also showed that Mg significantly increased the 13C allocation in the fruits. Mg also significantly increased the expression of anthocyanin biosynthesis genes (MdCHS and MdF3H) and transcription factors (MdMYB1 and MdbZIP44) and the content of anthocyanin in apple peel. The comprehensive analysis showed that the appropriate application of Mg (150 kg/ha) promoted PNUE, C-N metabolism, and anthocyanin biosynthesis in apple trees.

Development of models and assessment of the world walnut variety fund by fruit quality

Walnut (Juglans regia L.) is a particularly significant plant for humans in terms of its useful properties and in the Russian Federation it can be attributed to the most valuable introducers for forestry and horticulture. It is grown in many countries of the world and the area of its cultivation is constantly expanding. Breeding species for food purposes requires a selection assessment of the quality of its fruits. For this, at different times, appropriate methods were developed and the existing gene pool of the culture was assessed. By now, new varieties and forms have been bred and brought, which also need to be evaluated for rational use for scientific and practical purposes. The descriptions of varieties and forms of walnut often contain insufficient information about all selected traits, which requires the development of new models to assess the variety fund using incomplete data. The purpose of the research is to develop the missing models of selection evaluation using incomplete data and evaluate the world walnut variety fund in terms of fruit quality, to identify varieties and forms of the highest quality category. The well-known methodology and new models have been used for the evaluation. When developing evaluation models for incomplete data, a database of 50 varieties evaluated for all indicators has been used. Using the method of excluding individual indicators, the corresponding multiple regression models have been calculated on its basis, taking into account a different combination of features. The licensed programs Stadia 8.0, Microsoft Excel have been used in the research. The proposed models provide an estimate with an average error of ± 0.48 – 3.72 points at R2 = 0.63 – 0.99. A promising walnut gene pool from 23 countries has been assessed, 69 representatives with fruits of the breeding category of the highest quality identified, and a list of them compiled. Of the 512 ancestors, 19.73% had the selection category of fruits of the highest quality, 62.88% of high-quality fruits, 16.80% of ordinary fruits, and 0.59% of varieties and forms of low-quality fruits.

Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging

The presence of bruises on fruits often indicates cell damage, which can lead to a decrease in the ability of the peel to keep oxygen away from the fruits, and as a result, oxygen breaks down cell walls and membranes damaging fruit content. When chemicals in the fruit are oxidized by enzymes such as polyphenol oxidase, the chemical reaction produces an undesirable and apparent brown color effect, among others. Early detection of bruising prevents low-quality fruit from entering the consumer market. Hereupon, the present paper aims at early identification of bruised lemon fruits using 3D-convolutional neural networks (3D-CNN) via a local spectral-spatial hyperspectral imaging technique, which takes into account adjacent image pixel information in both the frequency (wavelength) and spatial domains of a 3D-tensor hyperspectral image of input lemon fruits. A total of 70 sound lemons were picked up from orchards. First, all fruits were labeled and the hyperspectral images (wavelength range 400–1100 nm) were captured as belonging to the healthy (unbruised) class (class label 0). Next, bruising was applied to each lemon by freefall. Then, the hyperspectral images of all bruised samples were captured in a time gap of 8 (class label 1) and 16 h (class label 2) after bruising was induced, thus resulting in a 3-class ternary classification problem. Four well-known 3D-CNN model namely ResNet, ShuffleNet, DenseNet, and MobileNet were used to classify bruised lemons in Python. Results revealed that the highest classification accuracy (90.47%) was obtained by the ResNet model, followed by DenseNet (85.71%), ShuffleNet (80.95%) and MobileNet (73.80%); all over the test set. ResNet model had larger parameter sizes, but it was proven to be trained faster than other models with fewer number of free parameters. ShuffleNet and MobileNet were easier to train and they needed less storage, but they could not achieve a classification error as low as the other two counterparts.

Effect of orchard site and climatic conditions on plant nematode density levels

Phytoparasitic nematodes are commonly found in the soil and their presence can lead to plant diseases, weaker growth, reduced yields and lower fruit quality. A study conducted in 2006–2009, involving the monitoring of climatic conditions, identified the influence of precipitation and temperature on the number of nematodes, in 7 sites within a cherry orchard. Soil samples to assess nematode populations were taken from 7 sites that differed in terms of cultivation and age: 5 cherry orchards established in different years. Not all nematode taxa responded in the same way to temperature increase. Members of the families Belonolaimidae, Trichodoridae and the genus Aphelenchus increased in number with rising temperatures. The negative water balance limited the number of nematodes in the soil in the layer up to 30 cm, whereas the increase in soil moisture had a positive effect on the development of Paratylenchus spp., and mebers of the family Hoplolaimidae and Heterodera. The largest total number of nematodes was found on the strip cultivated with agricultural crops after orchard liquidation. However, parasitic nematodes accounted for were at low levels (17%). The size of fruits from trees growing on sites with a large number of nematodes decreased with a simultaneous increase in total soluble solids and fruit firmness.

Iot Based Fruit Quality Management

The country's economy grows faster as a result of automation. Additionally, automation is beneficial to micro, small, medium, and large size industries. Our nation's export market is one of the tops for fruit exports. Because there is less understanding of effective quality products in developing countries, diseases caused by contaminated fruits and vegetables have been on the rise. Fruits' external attributes, such as color, shape, and size, are considered their sensory characteristics. The Adriano microcontroller, which runs this system, controls how the sensors are used. It describes the dielectric experiments conducted for fruits in detail and in chronological order, along with the relevant sensing apparatus, analytical modeling techniques, and results. Utilizing this approach, eating of low-quality fruit

Melon Selection for Breeding Based on Traits and Diversity

Genetic improvement of vegetables like melons needs information on its phenotypic diversity and so on. To choose the appropriate breeding strategies to fulfill the goal of breeding, information on genetics and genetic resources is essential. Information on genetic diversity, genetic resource and types of breeding of vegetable crops is helpful for breeders. Based on the targets of breeding, improving of melon by scientific methods will result in useful varieties or hybrids. Increasing genetic diversity is vital for the production of hybrid seeds. Hence, determining the distribution of genetic relationships between popular and commercial melon accessions and foreign accessions could improve the proficiency of melon genetics. The recent breeding effort has developed several hybrids aiming to enhance storage and shelf life, disease resistance and resistance to abiotic stresses in the world. Generally, cultivars with a longer shelf life are thought of by customers as having low fruit quality and therefore, present minimal acceptability. Africa and Asia have been proposed as possible regions of origin. Besides the domestication of melon might have occurred independently or in parallel in Asia and Africa.

Value Chain Challenges: Experiences from Avocado Farmers and Traders in Njombe Town, Tanzania

This study investigates the challenges facing avocado farmers and local traders along the value chain in Njombe, Tanzania using the mixed method in which a combination of qualitative and quantitative approaches formed the basis for data collection and analysis. A total of 230 respondents formed a study unit whereby 180 were avocado farmers and 50 were avocado traders. Primary data were collected through questionnaire, interview, direct observation and focus group discussions while secondary data were collected from published and unpublished materials. Data were analyzed using the SPSS and results were presented using expressive statistics and figures. It was established that along the value chain, avocado farmers and traders experienced low prices, unreliable markets, damaging of avocados, poor transport systems, lack of market information, lack of capital and low fruit quality. Therefore, the government should help farmers in determining reliable markets. Effective efforts should be geared up to make sure that all activities along the chain are well coordinated and monitored. Also all actors should be brought together for effective communication and information sharing on avocado value chain.

Boron Effects on Fruit Set, Yield, Quality and Paternity of Macadamia

Many tree crops experience sub-optimal yields and low fruit quality due to inadequate pollination, low fruit set, and poor crop nutrition. Boron (B) is a critical crop nutrient for fruit set because B levels affect pollen germination and pollen tube growth. However, the relationship between floral B concentration and fruit set is not well understood. The aim of this study was to determine the effect of B applications on the initial fruit set, yield, quality, and paternity of macadamia (Macadamia integrifolia). Cultivar ‘816’ trees received one of three treatments: (a) 0 g, (b) 15 g, or (c) 30 g B per tree prior to flowering. Boron application increased the B concentration of macadamia flowers. Application of 15 g B increased fruit set at 3 weeks after peak anthesis, but this higher initial fruit set was not translated into higher fruit set at 6 or 10 weeks after peak anthesis or higher yield. Boron application increased B concentrations in kernels but did not affect nut-in-shell (NIS) mass, kernel mass, kernel recovery, kernel oil concentration or incidence of whole kernels. Cultivar ‘816’ was highly outcrossing, with 97–98% cross-paternity among kernels from all treatments. Our results indicate that higher B concentration in macadamia flowers can be associated with an increased initial fruit set. However, high B levels did not affect yield, nut quality, or the proportion of self-pollinated fruit at maturity. The heavy dependence on outcrossing highlights the importance of inter-planting different cultivars and managing bee hives to sustain the productivity of macadamia orchards.

Secondary Bud Growth and Fruitfulness of Vitis Vinifera L. ‘Grenache’ Grafted to Three Different Rootstocks and Grown within the Texas High Plains AVA

ABSTRACT In recent years, the economic impact of the grape and wine industry within Texas has significantly increased. The majority of grapes grown in Texas are produced within the Texas High Plains American Viticultural Area (AVA). Vineyards within this AVA are subject to late spring frosts that may potentially reduce crop yields, and lower fruit quality. Objectives of this experiment were to compare the growth and fruitfulness of shoots grown from primary and secondary buds of V. vinifera ‘Grenache’ vines grafted onto three rootstocks (110 R, 1103P, and Freedom). Over two growing seasons, field-grown vines were exposed to the following treatments: primary bud growth and forced secondary bud growth (simulated late spring frost). Leaf gas exchange, pruning cane weight, vine yield, and fruit maturity data were collected each year. Bud treatment or rootstock did not influence leaf gas exchange. Cane weight and yield data were greater for shoots grown from primary bud shoots, and rootstock 1103P. In addition, berries grown from primary buds and 1103P rootstocks were more mature compared to fruits from secondary buds or vines grown on other rootstocks. Results offer insight into the potential interaction of ‘Grenache’ scions with grafted rootstocks during a late spring frost within the Texas High Plains AVA.