Genetic modification, a process used to change an organism’s genes and hence its characteristics, is now being used to improve trees. It is possible to create trees that produce more fruit, grow faster, or withstand adverse conditions. Planting genetically modified trees on a large scale promises to bring a number of benefits.
First, genetically modified trees are designed to be harder than natural trees; that is, they are more likely to survive than their unmodified counterparts. In Hawaii, for example, a new pest-resistant species of papaya trees has been developed in response to ring spot virus infections that have repeatedly damaged the native papaya tree population. Planting the genetically modified papayas has largely put an end to the ring spot problem.
Moreover, genetically modified trees promise to bring a number of economic benefits to those who grow them. Genetically modified trees tend to grow faster, give greater yields of food, fruit, or other products and be hardier. This allows tree farmer to get faster and greater returns on their farming investment and save on pesticides as well.
Finally, the use of genetically modified trees can prevent overexploitation of wild trees. Because of the growing demand for firewood and building timber, many forests around the world are being cut down faster than they can be replaced. Introducing genetically modified trees, designed for fast growth and high yield in given geographic conditions, would satisfy the demand for wood in many of those areas and save the endangered native trees, which often include unique or rare species.
Both the reading and the lecture discuss the implications of genetically modified trees. The author states three advantages of growing such trees. In the lecture, however, the speaker believes if we look closer, we will figure out that such trees will cause more harm and cost more money, therefore, none of the mentioned arguments is convincing.
First, modified trees can withstand harsh conditions, the author asserts. In fact, some scholars in Hawaii, tested that on papaya trees and they managed to resist ring spot virus infections. On the other hand, the speaker disagrees with this belief by stating that not all non- modified trees are typically 100 percent alike, some of them have the ability to survive unfavorable circumstances like climate change. But modified trees do not have such capability, they are unified. So, if one of the members is not resistant to one of the environmental catastrophes, the rule applies on all.
Second, the writer asserts that implementing modified trees will tremendously increase farmers' profit. Indeed, such trees are genetically modified to grow faster and produce more crops. Conversely, the lecturer refutes this statement. She says that there is a hidden cost of planting such trees. She explains that farmers will be charged extra for buying their seeds. Moreover, by law, farmers have to pay the producer company every time they plant which, in turn, will add up to the framer’s budget.
Finally, modified trees can prevent wild trees exploit the area, the writer reports. In contrast, the professor argues that genetically enhanced trees are typically more aggressive, so they will compete with native ones on resources like sunlight and water. As a result, native trees will be endangered. goog
Grammar and spelling errors:
Line 3, column 1, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...e mentioned arguments is convincing. First, modified trees can withstand hars...
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Line 3, column 596, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
... catastrophes, the rule applies on all. Second, the writer asserts that imp...
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Line 8, column 306, Rule ID: UPPERCASE_SENTENCE_START
Message: This sentence does not start with an uppercase letter
Suggestion: Goog
...sult, native trees will be endangered. goog
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Transition Words or Phrases used:
but, conversely, finally, first, however, if, look, moreover, second, so, therefore, in contrast, in fact, as a result, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 10.4613686534 86% => OK
Auxiliary verbs: 9.0 5.04856512141 178% => OK
Conjunction : 6.0 7.30242825607 82% => OK
Relative clauses : 8.0 12.0772626932 66% => More relative clauses wanted.
Pronoun: 19.0 22.412803532 85% => OK
Preposition: 30.0 30.3222958057 99% => OK
Nominalization: 1.0 5.01324503311 20% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1484.0 1373.03311258 108% => OK
No of words: 281.0 270.72406181 104% => OK
Chars per words: 5.28113879004 5.08290768461 104% => OK
Fourth root words length: 4.09427095027 4.04702891845 101% => OK
Word Length SD: 2.64297594914 2.5805825403 102% => OK
Unique words: 168.0 145.348785872 116% => OK
Unique words percentage: 0.597864768683 0.540411800872 111% => OK
syllable_count: 447.3 419.366225166 107% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 4.0 3.25607064018 123% => OK
Article: 9.0 8.23620309051 109% => OK
Subordination: 2.0 1.25165562914 160% => OK
Conjunction: 1.0 1.51434878587 66% => OK
Preposition: 6.0 2.5761589404 233% => Less preposition wanted as sentence beginnings.
Performance on sentences:
How many sentences: 17.0 13.0662251656 130% => OK
Sentence length: 16.0 21.2450331126 75% => The Avg. Sentence Length is relatively short.
Sentence length SD: 50.8863310244 49.2860985944 103% => OK
Chars per sentence: 87.2941176471 110.228320801 79% => OK
Words per sentence: 16.5294117647 21.698381199 76% => OK
Discourse Markers: 8.05882352941 7.06452816374 114% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 3.0 4.19205298013 72% => OK
Sentences with positive sentiment : 4.0 4.33554083885 92% => OK
Sentences with negative sentiment : 6.0 4.45695364238 135% => OK
Sentences with neutral sentiment: 7.0 4.27373068433 164% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.189987629412 0.272083759551 70% => OK
Sentence topic coherence: 0.0681814320863 0.0996497079465 68% => OK
Sentence topic coherence SD: 0.062257368607 0.0662205650399 94% => OK
Paragraph topic coherence: 0.122284583926 0.162205337803 75% => OK
Paragraph topic coherence SD: 0.0344191207959 0.0443174109184 78% => OK
Essay readability:
automated_readability_index: 11.7 13.3589403974 88% => Automated_readability_index is low.
flesch_reading_ease: 55.24 53.8541721854 103% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 9.5 11.0289183223 86% => OK
coleman_liau_index: 13.05 12.2367328918 107% => OK
dale_chall_readability_score: 9.21 8.42419426049 109% => OK
difficult_words: 85.0 63.6247240618 134% => OK
linsear_write_formula: 8.0 10.7273730684 75% => OK
gunning_fog: 8.4 10.498013245 80% => OK
text_standard: 10.0 11.2008830022 89% => OK
What are above readability scores?
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Rates: 86.6666666667 out of 100
Scores by essay e-grader: 26.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.